By

文章目录
  1. 1. Hierarchical Clustering
    1. 1.1. hclust
  2. 2. Partitioning Clustering
  3. 3. Model-Based Clustering
  4. 4. 参考文献

Hierarchical Clustering

hclust

  • hclust

  • cutree
    函数原型：cutree(tree, k = NULL, h = NULL)
    其中k是聚类个数，h是数值类型。h是生成的树的高度的一个cut点。h和k的对应关系如下：

    1
    k <- nrow(tree$merge) + 2L - apply(outer(c(tree$height, Inf), h, ">"),2, which.max)

    等价于：

    1
    k <- nrow(treec$merge) + 2L - which.max(c(tree$height, Inf)>hy)

Partitioning Clustering

Model-Based Clustering

参考文献

[1]: CRAN Task View: Cluster Analysis & Finite Mixture Models
[2]: Cluster Analysis

文章目录
  1. 1. Hierarchical Clustering
    1. 1.1. hclust
  2. 2. Partitioning Clustering
  3. 3. Model-Based Clustering
  4. 4. 参考文献