{"id":28775,"date":"2024-10-27T16:15:00","date_gmt":"2024-10-27T16:15:00","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28775"},"modified":"2024-11-26T06:57:49","modified_gmt":"2024-11-26T06:57:49","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%ea%b0%80%ec%9a%b0%ec%8b%9c%ec%95%88-%ed%98%bc","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28775\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378"},"content":{"rendered":"<p><body><\/p>\n<h2>\ubaa9\ucc28<\/h2>\n<ol>\n<li>\uc11c\ub860<\/li>\n<li>\uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378(GMM) \uac1c\uc694<\/li>\n<ol>\n<li>\uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec \uc774\ud574\ud558\uae30<\/li>\n<li>\ud63c\ud569 \ubaa8\ub378\uc758 \uac1c\ub150<\/li>\n<li>\uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378\uc758 \ud2b9\uc9d5<\/li>\n<\/ol>\n<li>GMM\uc758 \uc218\ud559\uc801 \uae30\ucd08<\/li>\n<ol>\n<li>\ucd5c\ub300 \uc6b0\ub3c4 \ucd94\uc815<\/li>\n<li>EM(Expectation-Maximization) \uc54c\uace0\ub9ac\uc998<\/li>\n<\/ol>\n<li>\ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc5d0 GMM \uc801\uc6a9\ud558\uae30<\/li>\n<ol>\n<li>\uc2dc\uc7a5 \ub370\uc774\ud130 \ubd84\uc11d<\/li>\n<li>\ud3ec\uc9c0\uc158 \uacb0\uc815<\/li>\n<li>\ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \uc804\ub7b5<\/li>\n<\/ol>\n<li>\uc608\uc81c \ucf54\ub4dc<\/li>\n<ol>\n<li>\ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac<\/li>\n<li>\ubaa8\ub378 \ud559\uc2b5<\/li>\n<li>\uc608\uce21 \ubc0f \uacb0\uacfc \uc2dc\uac01\ud654<\/li>\n<\/ol>\n<li>\uacb0\ub860 \ubc0f \ud5a5\ud6c4 \uc804\ub9dd<\/li>\n<\/ol>\n<h2>1. \uc11c\ub860<\/h2>\n<p>\ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uc801\uc6a9\uc774 \uae09\uc99d\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub4e4\uc740 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ucc3e\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ud2b8\ub808\uc774\ub529 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \uc911\uc5d0\uc11c\ub3c4 \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378(GMM)\uc740 \ud2b9\ud788 \ub370\uc774\ud130\uc758 \uad70\uc9d1\ud654\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 GMM\uc758 \uae30\ucd08\ubd80\ud130 \uc2e4\uc81c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc5d0 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>2. \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378(GMM) \uac1c\uc694<\/h2>\n<h3>2.1 \uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec \uc774\ud574\ud558\uae30<\/h3>\n<p>\uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec\ub294 \ud1b5\uacc4\ud559\uc5d0\uc11c \uc911\uc694\ud55c \ud655\ub960 \ubd84\ud3ec \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud1b5\uacc4\uc801 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub97c \uacbd\uc6b0, \uc911\uc559\uac12\uacfc \ubd84\uc0b0\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130\uac00 \uc5b4\ub5bb\uac8c \ubd84\ud3ec\ud558\ub294\uc9c0\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc218\uc2dd\uc73c\ub85c \ud45c\ud604\ud558\uba74 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code>f(x) = (1 \/ (\u03c3\u221a(2\u03c0))) * e^(- (x - \u03bc)\u00b2 \/ (2\u03c3\u00b2))<\/code><\/pre>\n<p>\uc5ec\uae30\uc11c \u03bc\ub294 \ud3c9\uade0, \u03c3\ub294 \ud45c\uc900\ud3b8\ucc28\uc785\ub2c8\ub2e4. \uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec\ub97c \uae30\ubc18\uc73c\ub85c \ud558\ub294 GMM\uc740 \ubaa8\uc9d1\ub2e8\uc774 \uc5ec\ub7ec \uac1c\uc758 \uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.2 \ud63c\ud569 \ubaa8\ub378\uc758 \uac1c\ub150<\/h3>\n<p>\ud63c\ud569 \ubaa8\ub378\uc740 \ub370\uc774\ud130\uc14b\uc774 \uc5ec\ub7ec \uac1c\uc758 \ud558\uc704 \uc9d1\ud569\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\ub2e4\ub294 \uac00\uc815\ud558\uc5d0 \uc791\ub3d9\ud569\ub2c8\ub2e4. \uac01 \ud558\uc704 \uc9d1\ud569\uc740 \uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec\ub97c \ub530\ub985\ub2c8\ub2e4. GMM\uc740 \uc774\ub7ec\ud55c \ud558\uc704 \uc9d1\ud569\uc744 \ub3d9\uc2dc\uc5d0 \ubaa8\ub378\ub9c1\ud558\uc5ec \uc804\uccb4 \ub370\uc774\ud130\uc758 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b4\uace0\uc790 \ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub370\uc774\ud130\uac00 \ud3ec\ucc29\ud558\uace0 \uc788\ub294 \ub2e4\uc591\ud55c \ud328\ud134\uc744 \ub2e8\uc77c \ubaa8\ub378\ub85c \uc124\uba85\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>2.3 \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378\uc758 \ud2b9\uc9d5<\/h3>\n<p>\uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ud2b9\uc9d5\uc774 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\ube44\ubaa8\uc218\uc801 \uc811\uadfc: GMM\uc740 \ub370\uc774\ud130\uc758 \ubd84\ud3ec \ud615\ud0dc\ub97c \ubbf8\ub9ac \uac00\uc815\ud558\uc9c0 \uc54a\uc73c\uba70, \ub370\uc774\ud130 \uae30\ubc18\uc73c\ub85c \ubd84\ud3ec\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc720\uc5f0\uc131: \ub2e4\uc591\ud55c \ud615\ud0dc\uc758 \ubd84\ud3ec\ub97c \ubaa8\ub378\ub9c1\ud560 \uc218 \uc788\uc5b4 \uc2e4\uc81c \ub370\uc774\ud130\uc5d0 \uc801\ud569\ud55c \ubaa8\ub378\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li>\uad70\uc9d1\ud654 \uac00\ub2a5\uc131: GMM\uc740 \ub370\uc774\ud130\uc758 \uadf8\ub8f9\uc744 \uc790\uc5f0\uc2a4\ub7fd\uac8c \uc2dd\ubcc4\ud558\uace0, \uac01 \uadf8\ub8f9\uc758 \ud2b9\uc131\uc744 \uc774\ud574\ud558\ub294 \ub370 \uc720\ub9ac\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>3. GMM\uc758 \uc218\ud559\uc801 \uae30\ucd08<\/h2>\n<h3>3.1 \ucd5c\ub300 \uc6b0\ub3c4 \ucd94\uc815<\/h3>\n<p>GMM\uc758 \ud30c\ub77c\ubbf8\ud130\ub97c \ucd94\uc815\ud558\ub294 \uc8fc\uc694 \ubc29\ubc95\uc740 \ucd5c\ub300 \uc6b0\ub3c4 \ucd94\uc815(Maximum Likelihood Estimation, MLE)\uc785\ub2c8\ub2e4. MLE\ub294 \uad00\uce21\ub41c \ub370\uc774\ud130\uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c, \ud30c\ub77c\ubbf8\ud130 \u03b8\ub97c \ucd5c\uc801\ud654\ud558\uc5ec \uc774 \ub370\uc774\ud130 \ubc1c\uc0dd \ud655\ub960\uc744 \ucd5c\ub300\ud654\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. GMM\uc758 \uacbd\uc6b0, \uc804\uccb4 \ub370\uc774\ud130\uc758 \ub85c\uadf8 \uc6b0\ub3c4 \ud568\uc218\ub97c \uc138\uc6b0\uace0 \uc774\ub97c \ucd5c\ub300\ud654\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.2 EM(Expectation-Maximization) \uc54c\uace0\ub9ac\uc998<\/h3>\n<p>EM \uc54c\uace0\ub9ac\uc998\uc740 GMM\uc758 \ud30c\ub77c\ubbf8\ud130\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 iterative \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4. \ucc98\uc74c\uc5d0\ub294 \uc784\uc758\uc758 \ud30c\ub77c\ubbf8\ud130 \uac12\uc744 \uc124\uc815\ud55c \ub4a4, \ub450 \ub2e8\uacc4\ub85c \ubc18\ubcf5\ud558\uc5ec \ucd5c\uc801\uc758 \ud30c\ub77c\ubbf8\ud130\ub97c \ucd94\uc815\ud569\ub2c8\ub2e4:<\/p>\n<ol>\n<li>\uae30\ub300 \ub2e8\uacc4 (E-step): \ud604\uc7ac\uc758 \ud30c\ub77c\ubbf8\ud130\ub97c \uae30\ubc18\uc73c\ub85c \uac01 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uac00 \uac01 \ud074\ub7ec\uc2a4\ud130\uc5d0 \uc18d\ud560 \ud655\ub960\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/li>\n<li>\uadf9\ub300\ud654 \ub2e8\uacc4 (M-step): E-step\uc5d0\uc11c \uacc4\uc0b0\ub41c \ud655\ub960\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud30c\ub77c\ubbf8\ud130\ub97c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>4. \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc5d0 GMM \uc801\uc6a9\ud558\uae30<\/h2>\n<h3>4.1 \uc2dc\uc7a5 \ub370\uc774\ud130 \ubd84\uc11d<\/h3>\n<p>\ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uc124\uacc4\ud558\uae30 \uc704\ud574\uc11c\ub294 \ucd08\uae30 \ub2e8\uacc4\ub85c \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud574\uc57c \ud569\ub2c8\ub2e4. \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud55c \ud6c4, GMM\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uc7a5 \ub370\uc774\ud130\uc758 \uc5ec\ub7ec \uad70\uc9d1\uc744 \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c \uc0dd\uae30\ub294 \uc911\uc694\ud55c \uc9c8\ubb38\uc740 \ub370\uc774\ud130\uac00 \uc5bc\ub9c8\ub098 \uad70\uc9d1\ud654\ub420 \uc218 \uc788\ub294\uac00\uc640 \uac01 \uadf8\ub8f9\uc774 \uc5b4\ub5a4 \ud2b9\uc131\uc744 \uac00\uc9c0\ub294\uac00\uc785\ub2c8\ub2e4.<\/p>\n<h3>4.2 \ud3ec\uc9c0\uc158 \uacb0\uc815<\/h3>\n<p>GMM\uc73c\ub85c \ubd84\uc11d\ud55c \uacb0\uacfc\ub97c \ubc14\ud0d5\uc73c\ub85c \ud2b8\ub808\uc774\ub529 \ud3ec\uc9c0\uc158\uc744 \uacb0\uc815\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud2b9\uc815 \uad70\uc9d1\uc774 \uc0c1\uc2b9 \uc138\ub97c \ubcf4\uc774\uac70\ub098 \ud558\ub77d\ud558\ub294 \ud328\ud134\uc744 \ubc1c\uacac\ud588\ub2e4\uba74, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub9e4\uc218 \ub610\ub294 \ub9e4\ub3c4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c GMM\uc774 \uc2dd\ubcc4\ud55c \uac01 \uad70\uc9d1\uc758 \uc911\uc2ec(\ud3c9\uade0)\uc774 \uc911\uc694\ud55c \uae30\uc900\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<h3>4.3 \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \uc804\ub7b5<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc740 \uc120\ud0dd\ub41c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\uc5d0 \uc758\uc874\ud569\ub2c8\ub2e4. GMM\uc758 \uacbd\uc6b0, \ud074\ub7ec\uc2a4\ud130\uc758 \uac1c\uc218(K)\uc640 \ucd08\uae30\ud654 \ubc29\ubc95, \uc218\ub834 \uae30\uc900 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \ud29c\ub2dd\ud558\uae30 \uc704\ud574 \uad50\ucc28 \uac80\uc99d\uacfc \uac19\uc740 \uae30\ubc95\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ucd5c\uc801\uc758 \ud30c\ub77c\ubbf8\ud130 \uc870\ud569\uc744 \ucc3e\uc544 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. \uc608\uc81c \ucf54\ub4dc<\/h2>\n<h3>5.1 \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac<\/h3>\n<p>\uba3c\uc800 \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc804\ucc98\ub9ac\ud558\ub294 \ub2e8\uacc4\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uc740 Python\uc744 \uc0ac\uc6a9\ud55c \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4:<\/p>\n<pre><code>import pandas as pd\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\n# \ub370\uc774\ud130 \ubd88\ub7ec\uc624\uae30\ndata = pd.read_csv('market_data.csv')\n# \uc804\ucc98\ub9ac\ndata.dropna(inplace=True)\nX = data[['feature1', 'feature2', ..., 'featureN']].values\n<\/code><\/pre>\n<h3>5.2 \ubaa8\ub378 \ud559\uc2b5<\/h3>\n<p>\uc774\uc81c GMM \ubaa8\ub378\uc744 \ud559\uc2b5\ud560 \ucc28\ub840\uc785\ub2c8\ub2e4. Scikit-learn \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec GMM\uc744 \uad6c\ud604\ud558\ub294 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code>from sklearn.mixture import GaussianMixture\n# GMM \ubaa8\ub378 \uc0dd\uc131\ngmm = GaussianMixture(n_components=3, random_state=0)\n# \ubaa8\ub378 \ud559\uc2b5\ngmm.fit(X)\n<\/code><\/pre>\n<h3>5.3 \uc608\uce21 \ubc0f \uacb0\uacfc \uc2dc\uac01\ud654<\/h3>\n<p>\ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\uc744 \ud558\uace0 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code>import matplotlib.pyplot as plt\n# \ub370\uc774\ud130\uc758 \uad70\uc9d1 \uc608\uce21\nlabels = gmm.predict(X)\n# \uc2dc\uac01\ud654\nplt.scatter(X[:, 0], X[:, 1], c=labels, s=30, cmap='viridis')\nplt.title('GMM Clustering Results')\nplt.xlabel('Feature 1')\nplt.ylabel('Feature 2')\nplt.show()\n<\/code><\/pre>\n<h2>6. \uacb0\ub860 \ubc0f \ud5a5\ud6c4 \uc804\ub9dd<\/h2>\n<p>\uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378\uc740 \uae08\uc735 \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \uc774\ud574\ud558\uace0, \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uc138\uc6b0\ub294 \ub370 \uac15\ub825\ud55c \ub3c4\uad6c\uac00 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. GMM\uc740 \ub370\uc774\ud130\uc758 \uc5ec\ub7ec \uad70\uc9d1\uc744 \ubd84\uc11d\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud558\ub294 \ub370 \ud070 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uc6b0\ub9ac\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud1b5\ud574 \ub354\uc6b1 \uc815\uad50\ud558\uace0 \uc2e4\uc6a9\uc801\uc778 \ud2b8\ub808\uc774\ub529 \ubaa8\ub378\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>\ucc38\uace0 \uc790\ub8cc<\/h3>\n<ul>\n<li>\ub2e4\uc591\ud55c \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uad00\ub828 \uc11c\uc801<\/li>\n<li>Scikit-learn \uacf5\uc2dd \ubb38\uc11c<\/li>\n<li>Python \uad00\ub828 \uc790\ub8cc \ubc0f \uc608\uc81c<\/li>\n<\/ul>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubaa9\ucc28 \uc11c\ub860 \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378(GMM) \uac1c\uc694 \uac00\uc6b0\uc2dc\uc548 \ubd84\ud3ec \uc774\ud574\ud558\uae30 \ud63c\ud569 \ubaa8\ub378\uc758 \uac1c\ub150 \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378\uc758 \ud2b9\uc9d5 GMM\uc758 \uc218\ud559\uc801 \uae30\ucd08 \ucd5c\ub300 \uc6b0\ub3c4 \ucd94\uc815 EM(Expectation-Maximization) \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc5d0 GMM \uc801\uc6a9\ud558\uae30 \uc2dc\uc7a5 \ub370\uc774\ud130 \ubd84\uc11d \ud3ec\uc9c0\uc158 \uacb0\uc815 \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \uc804\ub7b5 \uc608\uc81c \ucf54\ub4dc \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac \ubaa8\ub378 \ud559\uc2b5 \uc608\uce21 \ubc0f \uacb0\uacfc \uc2dc\uac01\ud654 \uacb0\ub860 \ubc0f \ud5a5\ud6c4 \uc804\ub9dd 1. \uc11c\ub860 \ucd5c\uadfc &hellip; <a href=\"https:\/\/atmokpo.com\/w\/28775\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uac00\uc6b0\uc2dc\uc548 \ud63c\ud569 \ubaa8\ub378&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-28775","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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