clus_analysis/result.txt at master · orgjun/clus_analysis · GitHub

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K-means clustering with 3 clusters of sizes 96, 21, 33

Cluster means:
  Sepal.Length Sepal.Width Petal.Length Petal.Width
1     6.314583    2.895833     4.973958   1.7031250
2     4.738095    2.904762     1.790476   0.3523810
3     5.175758    3.624242     1.472727   0.2727273

Clustering vector:
  [1] 3 2 2 2 3 3 3 3 2 2 3 3 2 2 3 3 3 3 3 3 3 3 3 3 2 2 3 3 3 2 2 3 3 3 2 3 3 3 2 3 3 2 2 3 3 2 3 2 3 3 1 1 1 1 1
 [56] 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1
[111] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Within cluster sum of squares by cluster:
[1] 118.651875  17.669524   6.432121
 (between_SS / total_SS =  79.0 %)

Available components:

[1] "cluster"      "centers"      "totss"        "withinss"     "tot.withinss" "betweenss"    "size"
[8] "iter"         "ifault"