Hierarchical Cluster 层次聚类

R: Hierarchical Cluster 层次聚类

发表于2年前(2014-10-05 12:05)   阅读( 1884) | 评论( 0)  0人收藏此文章, 我要收藏
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目录[-]

  • 构造数据:
  • 聚类:
  • 分成两个簇:
  • 参考:
  • 构造数据:

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    > dataset = matrix(c(1,2,
    + 1.2,2,
    + 8,9,
    + 0.9,1.8,
    + 7,10,
    + 8.8,9.2), nrow=6, byrow=T)
    > dataset
          [,1] [,2]
    [1,]  1.0  2.0
    [2,]  1.2  2.0
    [3,]  8.0  9.0
    [4,]  0.9  1.8
    [5,]  7.0 10.0
    [6,]  8.8  9.2


    聚类:

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    > d = dist(dataset)
    > d
                1          2          3          4          5
    2  0.2000000                                           
    3  9.8994949  9.7590983                                
    4  0.2236068  0.3605551 10.1118742                     
    5 10.0000000  9.8812955  1.4142136 10.2200783          
    6 10.6150836 10.4690019  0.8246211 10.8245092  1.9697716
    > hclust(d, method = "complete" )
     
    Call:
    hclust(d = d, method = "complete" )
     
    Cluster method   : complete
    Distance         : euclidean
    Number of objects: 6
     
    > hc = hclust(d, method = "complete" )
    > plot(hc)




    分成两个簇:

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    > democut<-cutree(hc,k=2)
    > democut
    [1] 1 1 2 1 2 2

    参考:

    http://www.r-tutor.com/gpu-computing/clustering/hierarchical-cluster-analysis
    http://stat.ethz.ch/R-manual/R-devel/library/stats/html/hclust.html
    http://ecology.msu.montana.edu/labdsv/R/labs/lab13/lab13.html

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