Displaying 1 result from an estimated 1 matches for "clustering_tail".
2013 Jan 24
1
Help regarding kmeans output. need to save the clusters into different directories/folders.
...7.0
3 300 0 24 1.7916666666666667 874 0.7963386727688787
4 400 8 24 4.291666666666667 1 8.0
5 500 5 24 2.4166666666666665 291 2.6735395189003435
$R
> *input_tail <- read.table("1.tsv", header=FALSE, sep="\t")
*
> *clustering_tail <- kmeans(input_tail, 5) *
> *print(clustering_tail)*
...
[99973] 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
Within cluster sum of squares by cluster:
[1] 2.731015e+26 8.785281e+22 4.726557e+26 3.513411e+22 5.092071e+25
(between_SS / total_SS = 98.9 %)
Available components:
[1...