
K-means clustering with 3 clusters of sizes 3, 2, 4

Cluster means:
        V1       V2
1 8.666667 2.666667
2 7.000000 8.000000
3 3.000000 3.250000

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

Within cluster sum of squares by cluster:
[1] 13.33333  2.00000 18.75000
 (between_SS / total_SS =  74.3 %)

Available components:

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