{"published":"2018-11-11 14:23:21","description":"k-NN Feature Extraction (k-\u8fd1\u508d\u6cd5\u3092\u7528\u3044\u305f\u7279\u5fb4\u91cf\u62bd\u51fa) \u3068\u3044\u3046\u624b\u6cd5\u304c\u3042\u308b\u3089\u3057\u3044\u3002 \u3053\u308c\u306f\u3001\u6587\u5b57\u901a\u308a k-NN (k-Nearest Neighbor algorithm: k-\u8fd1\u508d\u6cd5) \u3092\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u306b\u5fdc\u7528\u3057\u305f\u3082\u306e\u3002 \u8208\u5473\u6df1\u304b\u3063\u305f\u306e\u3067\u3001\u4eca\u56de\u306f\u81ea\u5206\u3067\u3082 Python \u3092\u4f7f\u3063\u3066\u5b9f\u88c5\u3057\u3066\u307f\u305f\u3002 \u624b\u6cd5\u306b\u3064\u3044\u3066\u77e5\u3063\u305f\u306e\u306f\u3001\u4ee5\u4e0b\u306e\u30d6\u30ed\u30b0\u3092\u76ee\u306b\u3057\u305f\u306e\u304c\u304d\u3063\u304b\u3051\u3002 upura.hatenablog.com \u307e\u305f\u3001\u4e0a\u8a18\u306f\u4ee5\u4e0b\u306e\u30d6\u30ed\u30b0\u306b\u8a18\u8f09\u306e\u3042\u308b R \u306e\u5b9f\u88c5\u3092\u53c2\u8003\u306b\u3057\u3066\u3044\u308b\u3068\u306e\u3053\u3068\u3060\u3063\u305f\u3002 Feature Extraction with KNN \u2022 fastknn \u305f\u3060\u3001\u5148\u307b\u3069\u306e Pyt\u2026","blog_title":"CUBE SUGAR CONTAINER","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/m/momijiame/20181111/20181111134125.png","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.amedama.jp%2Fentry%2Fknn-feature-extraction\" title=\"Python: k-NN Feature Extraction \u306b\u3064\u3044\u3066 - CUBE SUGAR CONTAINER\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_name":"momijiame","title":"Python: k-NN Feature Extraction \u306b\u3064\u3044\u3066","provider_url":"https://hatena.blog","type":"rich","height":"190","provider_name":"Hatena Blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/momijiame/","url":"https://blog.amedama.jp/entry/knn-feature-extraction","blog_url":"https://blog.amedama.jp/","width":"100%","categories":["Python","\u7d71\u8a08","\u6a5f\u68b0\u5b66\u7fd2","scikit-learn","Matplotlib","macOS"]}