Mar 30, 2017
切り抜きの仕方がよくわからない。 #3月31日 #graphcut (Itabashi-ku, Tokyo, Japan)
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切り抜きの仕方がよくわからない。 #3月31日 #graphcut (Itabashi-ku, Tokyo, Japan)
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Self-turing spectral clustering[NIPS2004]を実装した
Self-turing spectral clusteringで提案されているlocal scaleを実装をした(めっちゃ簡単)。 エッジに類似度を重みに持つグラフを構成するGaussian Kernelの分散値をlocalscaleと実証的に良い分散での比較を行いました。
論文自体のメモはこちら - “Self-Tuning Spectral Clustering (NIPS2004)”読んだ
localscaleの良い所は、ヒューリスティックに分散の値を決めなくて良い所と実装がめちゃくちゃ簡単な点です。
以下に簡単な実装例をGistで載せます