{"id":478223,"date":"2023-08-09T09:29:19","date_gmt":"2023-08-09T09:29:19","guid":{"rendered":""},"modified":"2023-09-05T11:16:19","modified_gmt":"2023-09-05T11:16:19","slug":"normalization-in-data-preprocessing","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/normalization-in-data-preprocessing\/","title":{"rendered":"Chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u"},"content":{"rendered":"<p>Chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u l\u00e0 m\u1ed9t b\u01b0\u1edbc quan tr\u1ecdng trong vi\u1ec7c chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u \u0111\u1ec3 ph\u00e2n t\u00edch v\u00e0 l\u1eadp m\u00f4 h\u00ecnh trong c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c nhau, bao g\u1ed3m h\u1ecdc m\u00e1y, khai th\u00e1c d\u1eef li\u1ec7u v\u00e0 ph\u00e2n t\u00edch th\u1ed1ng k\u00ea. N\u00f3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u sang \u0111\u1ecbnh d\u1ea1ng chu\u1ea9n h\u00f3a \u0111\u1ec3 lo\u1ea1i b\u1ecf s\u1ef1 kh\u00f4ng nh\u1ea5t qu\u00e1n v\u00e0 \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e1c t\u00ednh n\u0103ng kh\u00e1c nhau \u1edf quy m\u00f4 t\u01b0\u01a1ng \u0111\u01b0\u01a1ng. B\u1eb1ng c\u00e1ch \u0111\u00f3, vi\u1ec7c chu\u1ea9n h\u00f3a s\u1ebd n\u00e2ng cao hi\u1ec7u qu\u1ea3 v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a c\u00e1c thu\u1eadt to\u00e1n d\u1ef1a v\u00e0o \u0111\u1ed9 l\u1edbn c\u1ee7a c\u00e1c bi\u1ebfn \u0111\u1ea7u v\u00e0o.<\/p>\n<h2>L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u b\u1eaft ngu\u1ed3n t\u1eeb th\u1ef1c ti\u1ec5n th\u1ed1ng k\u00ea ban \u0111\u1ea7u. Tuy nhi\u00ean, vi\u1ec7c ch\u00ednh th\u1ee9c h\u00f3a v\u00e0 c\u00f4ng nh\u1eadn n\u00f3 nh\u01b0 m\u1ed9t k\u1ef9 thu\u1eadt ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u c\u01a1 b\u1ea3n c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb c\u00f4ng tr\u00ecnh c\u1ee7a c\u00e1c nh\u00e0 th\u1ed1ng k\u00ea nh\u01b0 Karl Pearson v\u00e0 Ronald Fisher v\u00e0o cu\u1ed1i th\u1ebf k\u1ef7 19 v\u00e0 \u0111\u1ea7u th\u1ebf k\u1ef7 20. Pearson \u0111\u00e3 \u0111\u01b0a ra \u00fd t\u01b0\u1edfng v\u1ec1 ti\u00eau chu\u1ea9n h\u00f3a (m\u1ed9t d\u1ea1ng chu\u1ea9n h\u00f3a) trong h\u1ec7 s\u1ed1 t\u01b0\u01a1ng quan c\u1ee7a m\u00ecnh, cho ph\u00e9p so s\u00e1nh c\u00e1c bi\u1ebfn v\u1edbi c\u00e1c \u0111\u01a1n v\u1ecb kh\u00e1c nhau.<\/p>\n<p>Trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y, kh\u00e1i ni\u1ec7m chu\u1ea9n h\u00f3a \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u1ed5 bi\u1ebfn r\u1ed9ng r\u00e3i c\u00f9ng v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh nh\u00e2n t\u1ea1o v\u00e0o nh\u1eefng n\u0103m 1940. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u nh\u1eadn th\u1ea5y r\u1eb1ng vi\u1ec7c chu\u1ea9n h\u00f3a d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o \u0111\u00e3 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 kh\u1ea3 n\u0103ng h\u1ed9i t\u1ee5 v\u00e0 hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh n\u00e0y.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>Chu\u1ea9n h\u00f3a nh\u1eb1m m\u1ee5c \u0111\u00edch \u0111\u01b0a t\u1ea5t c\u1ea3 c\u00e1c t\u00ednh n\u0103ng c\u1ee7a t\u1eadp d\u1eef li\u1ec7u l\u00ean m\u1ed9t thang \u0111o chung, th\u01b0\u1eddng l\u00e0 t\u1eeb 0 \u0111\u1ebfn 1 m\u00e0 kh\u00f4ng l\u00e0m bi\u1ebfn d\u1ea1ng ph\u00e2n ph\u1ed1i c\u01a1 b\u1ea3n c\u1ee7a d\u1eef li\u1ec7u. \u0110i\u1ec1u n\u00e0y r\u1ea5t quan tr\u1ecdng khi x\u1eed l\u00fd c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng c\u00f3 ph\u1ea1m vi ho\u1eb7c \u0111\u01a1n v\u1ecb kh\u00e1c nhau \u0111\u00e1ng k\u1ec3, v\u00ec thu\u1eadt to\u00e1n c\u00f3 th\u1ec3 coi tr\u1ecdng c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng c\u00f3 gi\u00e1 tr\u1ecb l\u1edbn h\u01a1n.<\/p>\n<p>Qu\u00e1 tr\u00ecnh chu\u1ea9n h\u00f3a bao g\u1ed3m c\u00e1c b\u01b0\u1edbc sau:<\/p>\n<ol>\n<li>\n<p><strong>\u0110\u1eb7c \u0111i\u1ec3m nh\u1eadn d\u1ea1ng<\/strong>: X\u00e1c \u0111\u1ecbnh nh\u1eefng t\u00ednh n\u0103ng n\u00e0o c\u1ea7n chu\u1ea9n h\u00f3a d\u1ef1a tr\u00ean quy m\u00f4 v\u00e0 ph\u00e2n ph\u1ed1i c\u1ee7a ch\u00fang.<\/p>\n<\/li>\n<li>\n<p><strong>Chia t\u1ef7 l\u1ec7<\/strong>: Chuy\u1ec3n \u0111\u1ed5i t\u1eebng t\u00ednh n\u0103ng m\u1ed9t c\u00e1ch \u0111\u1ed9c l\u1eadp \u0111\u1ec3 n\u1eb1m trong m\u1ed9t ph\u1ea1m vi c\u1ee5 th\u1ec3. C\u00e1c k\u1ef9 thu\u1eadt chia t\u1ef7 l\u1ec7 ph\u1ed5 bi\u1ebfn bao g\u1ed3m Chia t\u1ef7 l\u1ec7 t\u1ed1i thi\u1ec3u v\u00e0 Ti\u00eau chu\u1ea9n h\u00f3a \u0111i\u1ec3m Z.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00f4ng th\u1ee9c chu\u1ea9n h\u00f3a<\/strong>: C\u00f4ng th\u1ee9c \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i nh\u1ea5t cho T\u1ef7 l\u1ec7 t\u1ed1i thi\u1ec3u-T\u1ed1i \u0111a l\u00e0:<\/p>\n<pre><div class=\"bg-black rounded-md mb-4\"><div class=\"flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md\"><span>scss<\/span><button class=\"flex ml-auto gap-2\"><svg stroke=\"currentColor\" fill=\"none\" stroke-width=\"2\" viewbox=\"0 0 24 24\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"h-4 w-4\" height=\"1em\" width=\"1em\" ><path d=\"M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2\"><\/path><rect x=\"8\" y=\"2\" width=\"8\" height=\"4\" rx=\"1\" ry=\"1\"><\/rect><\/svg>Sao ch\u00e9p m\u00e3<\/button><\/div><div class=\"p-4 overflow-y-auto\"><code class=\"!whitespace-pre hljs language-scss\" data-no-translation=\"\">x_normalized = (x - min(x)) \/ (max(x) - <span class=\"hljs-built_in\">min<\/span>(x))\n<\/code><\/div><\/div><\/pre>\n<p>\u1ede \u0111\u00e2u <code data-no-translation=\"\">x<\/code> l\u00e0 gi\u00e1 tr\u1ecb ban \u0111\u1ea7u v\u00e0 <code data-no-translation=\"\">x_normalized<\/code> l\u00e0 gi\u00e1 tr\u1ecb chu\u1ea9n h\u00f3a.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00f4ng th\u1ee9c chu\u1ea9n h\u00f3a \u0111i\u1ec3m Z<\/strong>: \u0110\u1ed1i v\u1edbi Ti\u00eau chu\u1ea9n h\u00f3a \u0111i\u1ec3m Z, c\u00f4ng th\u1ee9c l\u00e0:<\/p>\n<pre><div class=\"bg-black rounded-md mb-4\"><div class=\"flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md\"><span>t\u1ea1o t\u1eadp tin<\/span><button class=\"flex ml-auto gap-2\"><svg stroke=\"currentColor\" fill=\"none\" stroke-width=\"2\" viewbox=\"0 0 24 24\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"h-4 w-4\" height=\"1em\" width=\"1em\" ><path d=\"M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2\"><\/path><rect x=\"8\" y=\"2\" width=\"8\" height=\"4\" rx=\"1\" ry=\"1\"><\/rect><\/svg>Sao ch\u00e9p m\u00e3<\/button><\/div><div class=\"p-4 overflow-y-auto\"><code class=\"!whitespace-pre hljs language-makefile\" data-no-translation=\"\">z = (x - mean) \/ standard_deviation\n<\/code><\/div><\/div><\/pre>\n<p>\u1ede \u0111\u00e2u <code data-no-translation=\"\">mean<\/code> l\u00e0 gi\u00e1 tr\u1ecb trung b\u00ecnh c\u1ee7a \u0111\u1eb7c t\u00ednh, <code data-no-translation=\"\">standard_deviation<\/code> l\u00e0 \u0111\u1ed9 l\u1ec7ch chu\u1ea9n, v\u00e0 <code data-no-translation=\"\">z<\/code> l\u00e0 gi\u00e1 tr\u1ecb ti\u00eau chu\u1ea9n h\u00f3a.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u. C\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a qu\u00e1 tr\u00ecnh chu\u1ea9n h\u00f3a trong qu\u00e1 tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>Qu\u00e1 tr\u00ecnh chu\u1ea9n h\u00f3a ho\u1ea1t \u0111\u1ed9ng tr\u00ean c\u00e1c t\u00ednh n\u0103ng ri\u00eang l\u1ebb c\u1ee7a t\u1eadp d\u1eef li\u1ec7u, bi\u1ebfn n\u00f3 th\u00e0nh m\u1ed9t ph\u00e9p chuy\u1ec3n \u0111\u1ed5i c\u1ea5p \u0111\u1ed9 t\u00ednh n\u0103ng. Qu\u00e1 tr\u00ecnh n\u00e0y bao g\u1ed3m vi\u1ec7c t\u00ednh to\u00e1n c\u00e1c thu\u1ed9c t\u00ednh th\u1ed1ng k\u00ea c\u1ee7a t\u1eebng t\u00ednh n\u0103ng, ch\u1eb3ng h\u1ea1n nh\u01b0 \u0111\u1ed9 l\u1ec7ch t\u1ed1i thi\u1ec3u, t\u1ed1i \u0111a, trung b\u00ecnh v\u00e0 \u0111\u1ed9 l\u1ec7ch chu\u1ea9n, sau \u0111\u00f3 \u00e1p d\u1ee5ng c\u00f4ng th\u1ee9c chia t\u1ef7 l\u1ec7 th\u00edch h\u1ee3p cho t\u1eebng \u0111i\u1ec3m d\u1eef li\u1ec7u trong t\u00ednh n\u0103ng \u0111\u00f3.<\/p>\n<p>M\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a vi\u1ec7c chu\u1ea9n h\u00f3a l\u00e0 ng\u0103n ch\u1eb7n m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng nh\u1ea5t \u0111\u1ecbnh chi\u1ebfm \u01b0u th\u1ebf trong qu\u00e1 tr\u00ecnh h\u1ecdc do c\u01b0\u1eddng \u0111\u1ed9 l\u1edbn h\u01a1n c\u1ee7a ch\u00fang. B\u1eb1ng c\u00e1ch chia t\u1ef7 l\u1ec7 t\u1ea5t c\u1ea3 c\u00e1c t\u00ednh n\u0103ng th\u00e0nh m\u1ed9t ph\u1ea1m vi chung, qu\u00e1 tr\u00ecnh chu\u1ea9n h\u00f3a \u0111\u1ea3m b\u1ea3o r\u1eb1ng m\u1ed7i t\u00ednh n\u0103ng \u0111\u00f3ng g\u00f3p t\u01b0\u01a1ng \u1ee9ng v\u00e0o qu\u00e1 tr\u00ecnh h\u1ecdc t\u1eadp v\u00e0 ng\u0103n ch\u1eb7n s\u1ef1 m\u1ea5t \u1ed5n \u0111\u1ecbnh v\u1ec1 s\u1ed1 l\u01b0\u1ee3ng trong qu\u00e1 tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a.<\/p>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>Chu\u1ea9n h\u00f3a mang l\u1ea1i m\u1ed9t s\u1ed1 l\u1ee3i \u00edch ch\u00ednh trong qu\u00e1 tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u:<\/p>\n<ol>\n<li>\n<p><strong>C\u1ea3i thi\u1ec7n s\u1ef1 h\u1ed9i t\u1ee5<\/strong>: Chu\u1ea9n h\u00f3a gi\u00fap c\u00e1c thu\u1eadt to\u00e1n h\u1ed9i t\u1ee5 nhanh h\u01a1n trong qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong c\u00e1c thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean t\u1ed1i \u01b0u h\u00f3a nh\u01b0 gi\u1ea3m \u0111\u1ed9 d\u1ed1c.<\/p>\n<\/li>\n<li>\n<p><strong>Hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh n\u00e2ng cao<\/strong>: Chu\u1ea9n h\u00f3a d\u1eef li\u1ec7u c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn hi\u1ec7u su\u1ea5t v\u00e0 t\u00ednh kh\u00e1i qu\u00e1t h\u00f3a m\u00f4 h\u00ecnh t\u1ed1t h\u01a1n v\u00ec n\u00f3 l\u00e0m gi\u1ea3m nguy c\u01a1 kh\u1edbp qu\u00e1 m\u1ee9c.<\/p>\n<\/li>\n<li>\n<p><strong>So s\u00e1nh c\u00e1c t\u00ednh n\u0103ng<\/strong>: N\u00f3 cho ph\u00e9p c\u00e1c t\u00ednh n\u0103ng c\u00f3 \u0111\u01a1n v\u1ecb v\u00e0 ph\u1ea1m vi kh\u00e1c nhau \u0111\u01b0\u1ee3c so s\u00e1nh tr\u1ef1c ti\u1ebfp, th\u00fac \u0111\u1ea9y tr\u1ecdng s\u1ed1 h\u1ee3p l\u00fd trong qu\u00e1 tr\u00ecnh ph\u00e2n t\u00edch.<\/p>\n<\/li>\n<li>\n<p><strong>S\u1ef1 m\u1ea1nh m\u1ebd \u0111\u1ed1i v\u1edbi c\u00e1c ngo\u1ea1i l\u1ec7<\/strong>: M\u1ed9t s\u1ed1 k\u1ef9 thu\u1eadt chu\u1ea9n h\u00f3a, nh\u01b0 Ti\u00eau chu\u1ea9n h\u00f3a \u0111i\u1ec3m Z, c\u00f3 th\u1ec3 m\u1ea1nh m\u1ebd h\u01a1n \u0111\u1ed1i v\u1edbi c\u00e1c gi\u00e1 tr\u1ecb ngo\u1ea1i l\u1ec7 v\u00ec ch\u00fang \u00edt nh\u1ea1y c\u1ea3m h\u01a1n v\u1edbi c\u00e1c gi\u00e1 tr\u1ecb c\u1ef1c tr\u1ecb.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c lo\u1ea1i chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>M\u1ed9t s\u1ed1 lo\u1ea1i k\u1ef9 thu\u1eadt chu\u1ea9n h\u00f3a t\u1ed3n t\u1ea1i, m\u1ed7i lo\u1ea1i c\u00f3 tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng v\u00e0 \u0111\u1eb7c \u0111i\u1ec3m c\u1ee5 th\u1ec3. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e1c lo\u1ea1i chu\u1ea9n h\u00f3a ph\u1ed5 bi\u1ebfn nh\u1ea5t:<\/p>\n<ol>\n<li>\n<p><strong>Chia t\u1ef7 l\u1ec7 t\u1ed1i thi\u1ec3u-t\u1ed1i \u0111a (Chu\u1ea9n h\u00f3a)<\/strong>:<\/p>\n<ul>\n<li>Chia t\u1ef7 l\u1ec7 d\u1eef li\u1ec7u \u0111\u1ebfn m\u1ed9t ph\u1ea1m vi c\u1ee5 th\u1ec3, th\u01b0\u1eddng l\u00e0 t\u1eeb 0 \u0111\u1ebfn 1.<\/li>\n<li>B\u1ea3o to\u00e0n m\u1ed1i quan h\u1ec7 t\u01b0\u01a1ng \u0111\u1ed1i gi\u1eefa c\u00e1c \u0111i\u1ec3m d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>Ti\u00eau chu\u1ea9n h\u00f3a \u0111i\u1ec3m Z<\/strong>:<\/p>\n<ul>\n<li>Chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u th\u00e0nh gi\u00e1 tr\u1ecb trung b\u00ecnh b\u1eb1ng 0 v\u00e0 ph\u01b0\u01a1ng sai \u0111\u01a1n v\u1ecb.<\/li>\n<li>H\u1eefu \u00edch khi d\u1eef li\u1ec7u c\u00f3 ph\u00e2n ph\u1ed1i Gaussian.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>T\u1ef7 l\u1ec7 th\u1eadp ph\u00e2n<\/strong>:<\/p>\n<ul>\n<li>D\u1ecbch chuy\u1ec3n d\u1ea5u th\u1eadp ph\u00e2n c\u1ee7a d\u1eef li\u1ec7u, l\u00e0m cho n\u00f3 n\u1eb1m trong m\u1ed9t ph\u1ea1m vi c\u1ee5 th\u1ec3.<\/li>\n<li>B\u1ea3o to\u00e0n s\u1ed1 ch\u1eef s\u1ed1 c\u00f3 ngh\u0129a.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>T\u1ef7 l\u1ec7 t\u1ed1i \u0111a<\/strong>:<\/p>\n<ul>\n<li>Chia d\u1eef li\u1ec7u cho gi\u00e1 tr\u1ecb t\u1ed1i \u0111a, \u0111\u1eb7t ph\u1ea1m vi t\u1eeb 0 \u0111\u1ebfn 1.<\/li>\n<li>Th\u00edch h\u1ee3p khi gi\u00e1 tr\u1ecb t\u1ed1i thi\u1ec3u b\u1eb1ng 0.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u0110\u1ecbnh m\u1ee9c vect\u01a1<\/strong>:<\/p>\n<ul>\n<li>Chu\u1ea9n h\u00f3a t\u1eebng \u0111i\u1ec3m d\u1eef li\u1ec7u \u0111\u1ec3 c\u00f3 \u0111\u1ecbnh m\u1ee9c \u0111\u01a1n v\u1ecb (\u0111\u1ed9 d\u00e0i).<\/li>\n<li>Th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong ph\u00e2n lo\u1ea1i v\u00e0 ph\u00e2n c\u1ee5m v\u0103n b\u1ea3n.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>C\u00e1c c\u00e1ch s\u1eed d\u1ee5ng Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<p>Chu\u1ea9n h\u00f3a l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt linh ho\u1ea1t \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c t\u00ecnh hu\u1ed1ng ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u kh\u00e1c nhau:<\/p>\n<ol>\n<li>\n<p><strong>H\u1ecdc m\u00e1y<\/strong>: Tr\u01b0\u1edbc khi \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y, vi\u1ec7c chu\u1ea9n h\u00f3a c\u00e1c t\u00ednh n\u0103ng l\u00e0 r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 ng\u0103n ch\u1eb7n m\u1ed9t s\u1ed1 thu\u1ed9c t\u00ednh nh\u1ea5t \u0111\u1ecbnh chi ph\u1ed1i qu\u00e1 tr\u00ecnh h\u1ecdc.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u00e2n c\u1ee5m<\/strong>: Chu\u1ea9n h\u00f3a \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng c\u00f3 \u0111\u01a1n v\u1ecb ho\u1eb7c t\u1ef7 l\u1ec7 kh\u00e1c nhau kh\u00f4ng \u1ea3nh h\u01b0\u1edfng qu\u00e1 m\u1ee9c \u0111\u1ebfn qu\u00e1 tr\u00ecnh ph\u00e2n c\u1ee5m, d\u1eabn \u0111\u1ebfn k\u1ebft qu\u1ea3 ch\u00ednh x\u00e1c h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110ang x\u1eed l\u00fd h\u00ecnh \u1ea3nh<\/strong>: Trong c\u00e1c t\u00e1c v\u1ee5 th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, vi\u1ec7c chu\u1ea9n h\u00f3a c\u01b0\u1eddng \u0111\u1ed9 \u0111i\u1ec3m \u1ea3nh gi\u00fap chu\u1ea9n h\u00f3a d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/strong>: Vi\u1ec7c chu\u1ea9n h\u00f3a c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng cho d\u1eef li\u1ec7u chu\u1ed7i th\u1eddi gian \u0111\u1ec3 l\u00e0m cho c\u00e1c chu\u1ed7i kh\u00e1c nhau c\u00f3 th\u1ec3 so s\u00e1nh \u0111\u01b0\u1ee3c.<\/p>\n<\/li>\n<\/ol>\n<p>Tuy nhi\u00ean, c\u00f3 nh\u1eefng th\u00e1ch th\u1ee9c ti\u1ec1m \u1ea9n khi s\u1eed d\u1ee5ng chu\u1ea9n h\u00f3a:<\/p>\n<ol>\n<li>\n<p><strong>Nh\u1ea1y c\u1ea3m v\u1edbi c\u00e1c ngo\u1ea1i l\u1ec7<\/strong>: T\u1ef7 l\u1ec7 t\u1ed1i thi\u1ec3u-t\u1ed1i \u0111a c\u00f3 th\u1ec3 nh\u1ea1y c\u1ea3m v\u1edbi c\u00e1c gi\u00e1 tr\u1ecb ngo\u1ea1i l\u1ec7 v\u00ec n\u00f3 chia t\u1ef7 l\u1ec7 d\u1eef li\u1ec7u d\u1ef1a tr\u00ean ph\u1ea1m vi gi\u1eefa gi\u00e1 tr\u1ecb t\u1ed1i thi\u1ec3u v\u00e0 t\u1ed1i \u0111a.<\/p>\n<\/li>\n<li>\n<p><strong>R\u00f2 r\u1ec9 d\u1eef li\u1ec7u<\/strong>: Vi\u1ec7c chu\u1ea9n h\u00f3a n\u00ean \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n tr\u00ean d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n v\u00e0 \u00e1p d\u1ee5ng nh\u1ea5t qu\u00e1n cho d\u1eef li\u1ec7u th\u1eed nghi\u1ec7m, \u0111\u1ec3 tr\u00e1nh r\u00f2 r\u1ec9 d\u1eef li\u1ec7u v\u00e0 k\u1ebft qu\u1ea3 sai l\u1ec7ch.<\/p>\n<\/li>\n<li>\n<p><strong>Chu\u1ea9n h\u00f3a tr\u00ean c\u00e1c b\u1ed9 d\u1eef li\u1ec7u<\/strong>: N\u1ebfu d\u1eef li\u1ec7u m\u1edbi c\u00f3 c\u00e1c \u0111\u1eb7c t\u00ednh th\u1ed1ng k\u00ea kh\u00e1c bi\u1ec7t \u0111\u00e1ng k\u1ec3 so v\u1edbi d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n th\u00ec qu\u00e1 tr\u00ecnh chu\u1ea9n h\u00f3a c\u00f3 th\u1ec3 kh\u00f4ng ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3.<\/p>\n<\/li>\n<\/ol>\n<p>\u0110\u1ec3 gi\u1ea3i quy\u1ebft nh\u1eefng v\u1ea5n \u0111\u1ec1 n\u00e0y, c\u00e1c nh\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u c\u00f3 th\u1ec3 xem x\u00e9t s\u1eed d\u1ee5ng c\u00e1c ph\u01b0\u01a1ng ph\u00e1p chu\u1ea9n h\u00f3a m\u1ea1nh m\u1ebd ho\u1eb7c kh\u00e1m ph\u00e1 c\u00e1c gi\u1ea3i ph\u00e1p thay th\u1ebf nh\u01b0 k\u1ef9 thu\u1eadt t\u00ednh n\u0103ng ho\u1eb7c chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u.<\/p>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1 d\u01b0\u1edbi d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<p>D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh v\u1ec1 chu\u1ea9n h\u00f3a v\u00e0 c\u00e1c k\u1ef9 thu\u1eadt ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u li\u00ean quan kh\u00e1c:<\/p>\n<table>\n<thead>\n<tr>\n<th>K\u1ef9 thu\u1eadt<\/th>\n<th>M\u1ee5c \u0111\u00edch<\/th>\n<th>C\u1ee7a c\u1ea3i<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Chu\u1ea9n h\u00f3a<\/strong><\/td>\n<td>Chia t\u1ef7 l\u1ec7 c\u00e1c t\u00ednh n\u0103ng th\u00e0nh m\u1ed9t ph\u1ea1m vi chung<\/td>\n<td>Gi\u1eef l\u1ea1i c\u00e1c m\u1ed1i quan h\u1ec7 t\u01b0\u01a1ng \u0111\u1ed1i<\/td>\n<\/tr>\n<tr>\n<td><strong>Ti\u00eau chu\u1ea9n h\u00f3a<\/strong><\/td>\n<td>Chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u v\u1ec1 gi\u00e1 tr\u1ecb trung b\u00ecnh b\u1eb1ng 0 v\u00e0 ph\u01b0\u01a1ng sai \u0111\u01a1n v\u1ecb<\/td>\n<td>Gi\u1ea3 s\u1eed ph\u00e2n ph\u1ed1i Gaussian<\/td>\n<\/tr>\n<tr>\n<td><strong>Chia t\u1ef7 l\u1ec7 t\u00ednh n\u0103ng<\/strong><\/td>\n<td>T\u00ednh n\u0103ng chia t\u1ef7 l\u1ec7 kh\u00f4ng c\u00f3 ph\u1ea1m vi c\u1ee5 th\u1ec3<\/td>\n<td>B\u1ea3o t\u1ed3n t\u1ef7 l\u1ec7 t\u00ednh n\u0103ng<\/td>\n<\/tr>\n<tr>\n<td><strong>Chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u<\/strong><\/td>\n<td>Thay \u0111\u1ed5i ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u \u0111\u1ec3 ph\u00e2n t\u00edch<\/td>\n<td>C\u00f3 th\u1ec3 phi tuy\u1ebfn<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1c quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>Chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u s\u1ebd ti\u1ebfp t\u1ee5c \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 h\u1ecdc m\u00e1y. Khi l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u ph\u00e1t tri\u1ec3n, c\u00e1c k\u1ef9 thu\u1eadt chu\u1ea9n h\u00f3a m\u1edbi ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c lo\u1ea1i d\u1eef li\u1ec7u v\u00e0 thu\u1eadt to\u00e1n c\u1ee5 th\u1ec3 c\u00f3 th\u1ec3 xu\u1ea5t hi\u1ec7n. S\u1ef1 ph\u00e1t tri\u1ec3n trong t\u01b0\u01a1ng lai c\u00f3 th\u1ec3 t\u1eadp trung v\u00e0o c\u00e1c ph\u01b0\u01a1ng ph\u00e1p chu\u1ea9n h\u00f3a th\u00edch \u1ee9ng c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111i\u1ec1u ch\u1ec9nh theo c\u00e1c ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u kh\u00e1c nhau, n\u00e2ng cao hi\u1ec7u qu\u1ea3 c\u1ee7a quy tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd.<\/p>\n<p>Ngo\u00e0i ra, nh\u1eefng ti\u1ebfn b\u1ed9 trong ki\u1ebfn tr\u00fac m\u1ea1ng th\u1ea7n kinh v\u00e0 h\u1ecdc s\u00e2u c\u00f3 th\u1ec3 k\u1ebft h\u1ee3p c\u00e1c l\u1edbp chu\u1ea9n h\u00f3a nh\u01b0 m\u1ed9t ph\u1ea7n kh\u00f4ng th\u1ec3 thi\u1ebfu c\u1ee7a m\u00f4 h\u00ecnh, gi\u1ea3m nhu c\u1ea7u v\u1ec1 c\u00e1c b\u01b0\u1edbc ti\u1ec1n x\u1eed l\u00fd r\u00f5 r\u00e0ng. S\u1ef1 t\u00edch h\u1ee3p n\u00e0y c\u00f3 th\u1ec3 h\u1ee3p l\u00fd h\u00f3a h\u01a1n n\u1eefa qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o v\u00e0 n\u00e2ng cao hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi Chu\u1ea9n h\u00f3a trong Ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy, \u0111\u01b0\u1ee3c cung c\u1ea5p b\u1edfi c\u00e1c nh\u00e0 cung c\u1ea5p nh\u01b0 OneProxy, \u0111\u00f3ng vai tr\u00f2 trung gian gi\u1eefa m\u00e1y kh\u00e1ch v\u00e0 m\u00e1y ch\u1ee7 kh\u00e1c, t\u0103ng c\u01b0\u1eddng b\u1ea3o m\u1eadt, quy\u1ec1n ri\u00eang t\u01b0 v\u00e0 hi\u1ec7u su\u1ea5t. M\u1eb7c d\u00f9 b\u1ea3n th\u00e2n m\u00e1y ch\u1ee7 proxy kh\u00f4ng \u0111\u01b0\u1ee3c li\u00ean k\u1ebft tr\u1ef1c ti\u1ebfp v\u1edbi c\u00e1c k\u1ef9 thu\u1eadt ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u nh\u01b0 chu\u1ea9n h\u00f3a nh\u01b0ng ch\u00fang c\u00f3 th\u1ec3 t\u00e1c \u0111\u1ed9ng gi\u00e1n ti\u1ebfp \u0111\u1ebfn qu\u00e1 tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u theo nh\u1eefng c\u00e1ch sau:<\/p>\n<ol>\n<li>\n<p><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau, \u0111\u1ea3m b\u1ea3o t\u00ednh \u1ea9n danh v\u00e0 ng\u0103n truy c\u1eadp tr\u1ef1c ti\u1ebfp v\u00e0o ngu\u1ed3n d\u1eef li\u1ec7u g\u1ed1c. \u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch khi x\u1eed l\u00fd d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m ho\u1eb7c b\u1ecb h\u1ea1n ch\u1ebf v\u1ec1 m\u1eb7t \u0111\u1ecba l\u00fd.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u00e2n t\u00edch l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 ph\u00e2n t\u00edch l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp m\u1ea1ng, c\u00f3 th\u1ec3 l\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a qu\u00e1 tr\u00ecnh x\u1eed l\u00fd tr\u01b0\u1edbc d\u1eef li\u1ec7u \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh c\u00e1c m\u1eabu, \u0111i\u1ec3m b\u1ea5t th\u01b0\u1eddng v\u00e0 c\u00e1c y\u00eau c\u1ea7u chu\u1ea9n h\u00f3a ti\u1ec1m n\u0103ng.<\/p>\n<\/li>\n<li>\n<p><strong>Qu\u00e9t d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb c\u00e1c trang web m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 v\u00e0 h\u1ee3p \u0111\u1ea1o \u0111\u1ee9c, ng\u0103n ch\u1eb7n vi\u1ec7c ch\u1eb7n IP v\u00e0 \u0111\u1ea3m b\u1ea3o thu th\u1eadp d\u1eef li\u1ec7u c\u00f4ng b\u1eb1ng.<\/p>\n<\/li>\n<\/ol>\n<p>M\u1eb7c d\u00f9 m\u00e1y ch\u1ee7 proxy kh\u00f4ng tr\u1ef1c ti\u1ebfp th\u1ef1c hi\u1ec7n chu\u1ea9n h\u00f3a nh\u01b0ng ch\u00fang c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho c\u00e1c giai \u0111o\u1ea1n thu th\u1eadp v\u00e0 ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u, khi\u1ebfn ch\u00fang tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 c\u00f3 gi\u00e1 tr\u1ecb trong quy tr\u00ecnh x\u1eed l\u00fd d\u1eef li\u1ec7u t\u1ed5ng th\u1ec3.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 Chu\u1ea9n h\u00f3a trong ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u, b\u1ea1n c\u00f3 th\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ul>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Normalization_(statistics)\" target=\"_new\" rel=\"noopener nofollow\">Chu\u1ea9n h\u00f3a (th\u1ed1ng k\u00ea) - Wikipedia<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/feature-scaling-why-it-matters-and-how-to-do-it-fc9b8601aa0d\" target=\"_new\" rel=\"noopener nofollow\">Chia t\u1ef7 l\u1ec7 t\u00ednh n\u0103ng: T\u1ea1i sao n\u00f3 quan tr\u1ecdng v\u00e0 l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 th\u1ef1c hi\u1ec7n \u0111\u00fang<\/a><\/li>\n<li><a href=\"https:\/\/machinelearningmastery.com\/normalize-standardize-machine-learning-data-weka\/\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u nh\u1eb9 nh\u00e0ng v\u1ec1 chu\u1ea9n h\u00f3a<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/blog\/proxy-servers-and-their-benefits\/\" target=\"_new\" rel=\"noopener\">M\u00e1y ch\u1ee7 proxy v\u00e0 l\u1ee3i \u00edch c\u1ee7a ch\u00fang<\/a><\/li>\n<\/ul>\n<p>H\u00e3y nh\u1edb r\u1eb1ng vi\u1ec7c hi\u1ec3u v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c k\u1ef9 thu\u1eadt chu\u1ea9n h\u00f3a th\u00edch h\u1ee3p l\u00e0 \u0111i\u1ec1u c\u1ea7n thi\u1ebft cho qu\u00e1 tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u, t\u1eeb \u0111\u00f3 \u0111\u1eb7t n\u1ec1n t\u1ea3ng cho vi\u1ec7c ph\u00e2n t\u00edch v\u00e0 l\u1eadp m\u00f4 h\u00ecnh d\u1eef li\u1ec7u th\u00e0nh c\u00f4ng.<\/p>","protected":false},"featured_media":469025,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478223","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Normalization in Data Preprocessing<\/mark>","faq_items":[{"question":"What is normalization in data preprocessing?","answer":"<p>Normalization in data preprocessing is a vital step that transforms data into a standardized format to ensure all features are on a comparable scale. It eliminates inconsistencies and enhances the efficiency and accuracy of algorithms used in machine learning, data mining, and statistical analysis.<\/p>"},{"question":"How did normalization in data preprocessing originate?","answer":"<p>The concept of normalization dates back to early statistical practices. Its formalization can be traced to statisticians like Karl Pearson and Ronald Fisher in the late 19th and early 20th centuries. It gained popularity with the rise of artificial neural networks in the 1940s.<\/p>"},{"question":"How does normalization work?","answer":"<p>Normalization operates on individual features of the dataset, transforming each feature independently to a common scale. It involves calculating statistical properties like minimum, maximum, mean, and standard deviation and then applying the appropriate scaling formula to each data point within that feature.<\/p>"},{"question":"What are the key benefits of normalization?","answer":"<p>Normalization offers several benefits, including improved convergence in algorithms, enhanced model performance, comparability of features with different units, and robustness to outliers.<\/p>"},{"question":"What are the different types of normalization?","answer":"<p>There are various normalization techniques, including Min-Max Scaling, Z-score Standardization, Decimal Scaling, Max Scaling, and Vector Norms, each with its specific use cases and characteristics.<\/p>"},{"question":"How is normalization used in data preprocessing?","answer":"<p>Normalization is used in machine learning, clustering, image processing, time series analysis, and other data-related tasks. It ensures fair weighting of features, prevents data leakage, and makes different data sets comparable.<\/p>"},{"question":"What challenges can arise when using normalization?","answer":"<p>Normalization can be sensitive to outliers, may cause data leakage if not applied consistently, and may not work effectively if new data has significantly different statistical properties from the training data.<\/p>"},{"question":"How does normalization compare to other data preprocessing techniques?","answer":"<p>Normalization scales data to a common range, while standardization transforms data to have zero mean and unit variance. Feature scaling preserves proportions, and data transformation changes data distribution for analysis.<\/p>"},{"question":"What are the future perspectives of normalization in data preprocessing?","answer":"<p>Future developments may focus on adaptive normalization methods that automatically adjust to different data distributions. Integration of normalization layers in deep learning models could streamline training and enhance performance.<\/p>"},{"question":"How are proxy servers associated with normalization in data preprocessing?","answer":"<p>Proxy servers from providers like OneProxy can facilitate data collection and preprocessing stages, ensuring anonymity, preventing IP blocking, and aiding in efficient data scraping, indirectly impacting the overall data processing pipeline.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478223\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/469025"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=478223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}