{"id":85544,"date":"2024-03-21T05:49:35","date_gmt":"2024-03-20T20:49:35","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7som%e3%82%af%e3%83%a9%e3%82%b9%e3%82%bf%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/"},"modified":"2024-03-28T00:46:39","modified_gmt":"2024-03-27T15:46:39","slug":"python%e3%81%a7som%e3%82%af%e3%83%a9%e3%82%b9%e3%82%bf%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7som%e3%82%af%e3%83%a9%e3%82%b9%e3%82%bf%e3%83%aa%e3%83%b3%e3%82%b0%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/","title":{"rendered":"Python\u3067SOM\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p>Scikit-learn\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3048\u3070\u3001Python\u3067Self-Organizing Maps(SOM)\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> sklearn.cluster <span class=\"hljs-keyword\">import<\/span> KMeans\r\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\r\n\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">SOM<\/span>:\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__init__<\/span>(<span class=\"hljs-params\">self, n_clusters, grid_size, learning_rate=<span class=\"hljs-number\">0.2<\/span>, max_iterations=<span class=\"hljs-number\">100<\/span><\/span>):\r\n        self.n_clusters = n_clusters\r\n        self.grid_size = grid_size\r\n        self.learning_rate = learning_rate\r\n        self.max_iterations = max_iterations\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">fit<\/span>(<span class=\"hljs-params\">self, X<\/span>):\r\n        <span class=\"hljs-comment\"># \u521d\u59cb\u5316\u6743\u91cd\u77e9\u9635<\/span>\r\n        self.weights = np.random.rand(self.grid_size[<span class=\"hljs-number\">0<\/span>], self.grid_size[<span class=\"hljs-number\">1<\/span>], X.shape[<span class=\"hljs-number\">1<\/span>])\r\n        \r\n        <span class=\"hljs-keyword\">for<\/span> iteration <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(self.max_iterations):\r\n            <span class=\"hljs-comment\"># \u968f\u673a\u9009\u62e9\u4e00\u4e2a\u6837\u672c<\/span>\r\n            sample = X[np.random.choice(X.shape[<span class=\"hljs-number\">0<\/span>])]\r\n            \r\n            <span class=\"hljs-comment\"># \u8ba1\u7b97\u6700\u8fd1\u7684\u805a\u7c7b\u4e2d\u5fc3<\/span>\r\n            bmu = self.find_best_matching_unit(sample)\r\n            \r\n            <span class=\"hljs-comment\"># \u66f4\u65b0\u90bb\u8fd1\u7684\u6743\u91cd\u77e9\u9635<\/span>\r\n            self.update_weights(sample, bmu, iteration)\r\n            \r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">find_best_matching_unit<\/span>(<span class=\"hljs-params\">self, sample<\/span>):\r\n        <span class=\"hljs-comment\"># \u8ba1\u7b97\u6bcf\u4e2a\u805a\u7c7b\u4e2d\u5fc3\u4e0e\u6837\u672c\u7684\u8ddd\u79bb<\/span>\r\n        distances = np.linalg.norm(self.weights - sample, axis=<span class=\"hljs-number\">2<\/span>)\r\n        \r\n        <span class=\"hljs-comment\"># \u627e\u5230\u6700\u8fd1\u7684\u805a\u7c7b\u4e2d\u5fc3<\/span>\r\n        bmu_index = np.unravel_index(np.argmin(distances), distances.shape)\r\n        \r\n        <span class=\"hljs-keyword\">return<\/span> bmu_index\r\n    \r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">update_weights<\/span>(<span class=\"hljs-params\">self, sample, bmu, iteration<\/span>):\r\n        <span class=\"hljs-comment\"># \u8ba1\u7b97\u90bb\u8fd1\u7684\u6743\u91cd\u77e9\u9635\u8303\u56f4<\/span>\r\n        radius = self.calculate_radius(iteration)\r\n        start = np.maximum(<span class=\"hljs-number\">0<\/span>, bmu - radius)\r\n        end = np.minimum(self.grid_size, bmu + radius + <span class=\"hljs-number\">1<\/span>)\r\n        \r\n        <span class=\"hljs-comment\"># \u66f4\u65b0\u90bb\u8fd1\u7684\u6743\u91cd\u77e9\u9635<\/span>\r\n        <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(start[<span class=\"hljs-number\">0<\/span>], end[<span class=\"hljs-number\">0<\/span>]):\r\n            <span class=\"hljs-keyword\">for<\/span> j <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(start[<span class=\"hljs-number\">1<\/span>], end[<span class=\"hljs-number\">1<\/span>]):\r\n                self.weights[i, j] += self.learning_rate * (sample - self.weights[i, j])\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">calculate_radius<\/span>(<span class=\"hljs-params\">self, iteration<\/span>):\r\n        <span class=\"hljs-comment\"># \u8ba1\u7b97\u90bb\u8fd1\u7684\u6743\u91cd\u77e9\u9635\u8303\u56f4<\/span>\r\n        initial_radius = np.<span class=\"hljs-built_in\">max<\/span>(self.grid_size) \/ <span class=\"hljs-number\">2<\/span>\r\n        time_constant = self.max_iterations \/ np.log(initial_radius)\r\n        \r\n        <span class=\"hljs-keyword\">return<\/span> initial_radius * np.exp(-iteration \/ time_constant)\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">predict<\/span>(<span class=\"hljs-params\">self, X<\/span>):\r\n        <span class=\"hljs-comment\"># \u8ba1\u7b97\u6bcf\u4e2a\u6837\u672c\u6240\u5c5e\u7684\u805a\u7c7b\u4e2d\u5fc3<\/span>\r\n        distances = np.linalg.norm(self.weights - X[:, np.newaxis, np.newaxis], axis=<span class=\"hljs-number\">3<\/span>)\r\n        cluster_indices = np.argmin(distances, axis=<span class=\"hljs-number\">2<\/span>)\r\n        \r\n        <span class=\"hljs-comment\"># \u4f7f\u7528KMeans\u7b97\u6cd5\u5bf9\u805a\u7c7b\u4e2d\u5fc3\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u805a\u7c7b<\/span>\r\n        kmeans = KMeans(n_clusters=self.n_clusters)\r\n        kmeans.fit(self.weights.reshape(-<span class=\"hljs-number\">1<\/span>, self.weights.shape[<span class=\"hljs-number\">2<\/span>]))\r\n        \r\n        <span class=\"hljs-comment\"># \u6839\u636eKMeans\u7b97\u6cd5\u7684\u805a\u7c7b\u7ed3\u679c\uff0c\u5c06\u6837\u672c\u5206\u914d\u5230\u6700\u7ec8\u7684\u805a\u7c7b\u4e2d\u5fc3<\/span>\r\n        <span class=\"hljs-keyword\">return<\/span> kmeans.predict(self.weights.reshape(-<span class=\"hljs-number\">1<\/span>, self.weights.shape[<span class=\"hljs-number\">2<\/span>]))[cluster_indices]\r\n\r\n<span class=\"hljs-comment\"># \u793a\u4f8b\u4f7f\u7528<\/span>\r\n<span class=\"hljs-comment\"># \u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e09\u4e2a\u805a\u7c7b\u4e2d\u5fc3\u7684SOM\u6a21\u578b\uff0c\u5e76\u4f7f\u7528iris\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u548c\u9884\u6d4b<\/span>\r\n<span class=\"hljs-keyword\">from<\/span> sklearn.datasets <span class=\"hljs-keyword\">import<\/span> load_iris\r\n\r\niris = load_iris()\r\nX = iris.data\r\n\r\nsom = SOM(n_clusters=<span class=\"hljs-number\">3<\/span>, grid_size=(<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">10<\/span>))\r\nsom.fit(X)\r\nlabels = som.predict(X)\r\n<span class=\"hljs-built_in\">print<\/span>(labels)\r\n<\/code><\/pre>\n<p>\u30a2\u30a4\u30ea\u30b9\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u305f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u4e88\u6e2c\u3092\u5b9f\u884c\u3059\u308b\u57fa\u672c\u7684\u306aSOM\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3001\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u5185\u3067\u5b9f\u88c5\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u307e\u305a\u3001\u91cd\u307f\u884c\u5217\u306e\u521d\u671f\u5316\u3001\u6700\u3082\u8fd1\u3044\u30af\u30e9\u30b9\u30bf\u4e2d\u5fc3\u306e\u8a08\u7b97\u3001\u8fd1\u63a5\u3059\u308b\u91cd\u307f\u884c\u5217\u306e\u66f4\u65b0\u306a\u3069\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u57fa\u790e\u7684\u306a\u64cd\u4f5c\u3092\u542b\u3080SOM\u30af\u30e9\u30b9\u304c\u5b9a\u7fa9\u3055\u308c\u307e\u3057\u305f\u3002\u305d\u306e\u5f8c\u3001fit\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066SOM\u30e2\u30c7\u30eb\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u3001predict\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30b5\u30f3\u30d7\u30eb\u304c\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u4e88\u6e2c\u3055\u308c\u307e\u3059\u3002\u6700\u5f8c\u306b\u3001KMeans\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u30af\u30e9\u30b9\u30bf\u4e2d\u5fc3\u304c\u3055\u3089\u306b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3055\u308c\u3001\u30b5\u30f3\u30d7\u30eb\u304c\u6700\u7d42\u7684\u306a\u30af\u30e9\u30b9\u30bf\u4e2d\u5fc3\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scikit-learn\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3048\u3070\u3001Python\u3067Self-Organizing Maps(SOM)\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u793a\u3057\u307e\u3059\u3002 from sklearn.clust [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-85544","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - 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