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自頂向下:層次聚類

如何理解這種層次性呢?At different distances, different clusters will form, which can be represented using a dendrogram(系統樹圖), which explains where the common name "hierarchical clustering" comes from: these algorithms do not provide a single partitioning of the data set, but instead provide an extensive hierarchy of clusters that merge with each other at certain distances.從結果上看,聚類的結果是把原始資料聚成帶有層次結構的簇;從過程上看,演算法的過程集中於如何在資料空間構建樹形聚類結構。