{"title":"Archetypal analysis and principal convex hull","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","height":"190","description":"\u4ed6\u306e\u30b0\u30eb\u30fc\u30d7\u304c\u3084\u3063\u3066\u3044\u308b\u89e3\u6790\u3067\u3001\u30c7\u30fc\u30bf\u5206\u5e03\u304c\u56db\u9762\u4f53\u306e\u3088\u3046\u306b\u898b\u3048\u308b\u3001\u3068\u3044\u3046\u8a71\u304c\u3042\u3063\u3066\u3001\u5358\u4f53\u3092\u591a\u6b21\u5143\u306b\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3055\u305b\u308b\u3088\u3046\u306a\u8a71\u3092\u6301\u3063\u3066\u304d\u3066\u3044\u305f\u3002 Archetypal analysis for machine learning and data mining \u3061\u3087\u3063\u3068\u30b0\u30b0\u3063\u3066\u3044\u305f\u3089\u30b7\u30b9\u30c6\u30e0\u751f\u7269\u5b66\u306eUri Alon \u304c\u306a\u3093\u304b\u8a00\u3063\u3066\u308b\u8a18\u4e8b\u304c\u3042\u3063\u305f\u3002 \u305d\u3082\u305d\u3082Archetypal analysis \u3068\u306f\u306a\u3093\u305e\u3084\u3001\u3068\u3044\u3046\u8a71\u3060\u304c\u3001wiki \u306b\u3088\u308b\u3068 Rather than \"typical\" observations (cluster centers), it seeks extremal points\u2026","blog_title":"\u9a5a\u7570\u306e\u30a2\u30cb\u30f2\u30bf\u793e\u4f1a\u5fa9\u5e30\u306e\u4e88\u5099","width":"100%","author_name":"MikuHatsune","blog_url":"https://mikuhatsune.hatenadiary.com/","url":"https://mikuhatsune.hatenadiary.com/entry/20161104/1478225225","published":"2016-11-04 11:07:05","version":"1.0","author_url":"https://blog.hatena.ne.jp/MikuHatsune/","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fmikuhatsune.hatenadiary.com%2Fentry%2F20161104%2F1478225225\" title=\"Archetypal analysis and principal convex hull - \u9a5a\u7570\u306e\u30a2\u30cb\u30f2\u30bf\u793e\u4f1a\u5fa9\u5e30\u306e\u4e88\u5099\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"categories":["R","\u7d71\u8a08","Python","\u6570\u5b66"]}