normal.l2.cluster {directlabels}

Clustering of some normal data in 2d with the l2 clusterpath

Description

The l2 clustering algorithm from the clusterpath package was applied to some randomly generated data in 2 dimensions, and the solutions found using the descent algorithm are stored in this data frame.

Usage

data(normal.l2.cluster)

Format

The format is: List of 2 $ pts :'data.frame': 320 obs. of 3 variables: ..$ class: Factor w/ 8 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... ..$ x : num [1:320] -2.73 -3.63 -2.13 -1.27 -2.98 ... ..$ y : num [1:320] -3.89 -3.43 -3.42 -3.17 -2.75 ... $ path:Classes 'l2', 'clusterpath' and 'data.frame': 21760 obs. of 7 variables: ..$ x : num [1:21760] -2.73 -3.63 -2.13 -1.27 -2.98 ... ..$ y : num [1:21760] -3.89 -3.43 -3.42 -3.17 -2.75 ... ..$ lambda: num [1:21760] 0 0 0 0 0 0 0 0 0 0 ... ..$ row : Factor w/ 320 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 10 ... ..$ gamma : Factor w/ 1 level "0.1": 1 1 1 1 1 1 1 1 1 1 ... ..$ norm : Factor w/ 1 level "2": 1 1 1 1 1 1 1 1 1 1 ... ..$ solver: Factor w/ 1 level "descent.nocheck": 1 1 1 1 1 1 1 1 1 1 ... ..- attr(*, "data")= num [1:320, 1:2] -2.73 -3.63 -2.13 -1.27 -2.98 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:2] "x" "y" ..- attr(*, "alphacolnames")= chr [1:2] "x" "y" ..- attr(*, "weight.pts")= num [1:320, 1:2] -2.73 -3.63 -2.13 -1.27 -2.98 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:2] "x" "y"

Source

clusterpath package

References

clusterpath article

Examples

data(normal.l2.cluster)
if(require(ggplot2)){
  p <- ggplot(normal.l2.cluster$path,aes(x,y))+
    geom_path(aes(group=row),colour="grey")+
    geom_point(aes(size=lambda),colour="grey")+
    geom_point(aes(colour=class),data=normal.l2.cluster$pts)+
    coord_equal()
  print(direct.label(p))
}