3 cluster, hierarchical clustering, cluster.stats() output

gistfile1.txt

$n
[1] 573

$cluster.number
[1] 3

$cluster.size
[1] 112 310 151

$min.cluster.size
[1] 112

$noisen
[1] 0

$diameter
[1]  7.63335 11.47917 34.26201

$average.distance
[1] 4.465643 5.354852 9.617598

$median.distance
[1] 4.482082 5.310426 8.869847

$separation
[1] 1.669437 1.669437 3.539771

$average.toother
[1] 6.386955 7.032628 8.074958

$separation.matrix
         [,1]     [,2]     [,3]
[1,] 0.000000 1.669437 3.641482
[2,] 1.669437 0.000000 3.539771
[3,] 3.641482 3.539771 0.000000

$ave.between.matrix
         [,1]     [,2]     [,3]
[1,] 0.000000 5.596039 8.010691
[2,] 5.596039 0.000000 8.098177
[3,] 8.010691 8.098177 0.000000

$average.between
[1] 7.200656

$average.within
[1] 6.008136

$n.between
[1] 98442

$n.within
[1] 65436

$max.diameter
[1] 34.26201

$min.separation
[1] 1.669437

$within.cluster.ss
[1] 13674.13

$clus.avg.silwidths
         1          2          3 
 0.1972919  0.0384518 -0.1998174 

$avg.silwidth
[1] 0.006709133

$g2
NULL

$g3
NULL

$pearsongamma
[1] 0.2242784

$dunn
[1] 0.04872559

$dunn2
[1] 0.5818541

$entropy
[1] 1.00286

$wb.ratio
[1] 0.8343873

$ch
[1] 24.96635

$cwidegap
[1]  3.958359  6.436436 24.251416

$widestgap
[1] 24.25142

$sindex
[1] 2.261363

$corrected.rand
NULL

$vi
NULL