clustPlot {clustTool}R Documentation

Plotting function for package clustTool

Description

The first plot visualises the clusters in a map. The second plot provides the visualisation of the cluster centres centres.

Usage

clustPlot(coord, clust, k, val = "silwidths", which.plot = c(1, 2), Map = "kola.background", texth = 0.75)

Arguments

coord (x,y)-coordinates of the data
clust Object from function “clust”
k Number of clusters
val local validity measure
which.plot if a subset of the plots is required, specify a subset of the numbers ‘1:2’
Map A map may be selected
texth cex of variable names in the cluster centres plot.

Details

The resulting clusters of function “clust” will be visualised in maps.

In general, not only the location of the single clustes in the map is of interest but also the composition of the single cluster. For this purpose a plot of the cluster centres is supported which is helpful for the interpretation of the clusters. The cluster centre is the element-wise mean of all observations of a cluster. Therefore, for each cluster all elements used for clustering are presented. The resulting means for all clusters are horizontally arranged. If the variables used for clustering were standardised they have the same contribution for the cluster analysis. If single elements show very high or low means for a cluster they are highly influential for this cluster.

Author(s)

Matthias Templ

See Also

clust, GUIspatClust

Examples

library(mvoutlier)
data(kola.background)
data(humus)
x <- prepare(humus[,c("As", "Ca", "Co", "Mo", "Ni")])
cl1 <- clust(x, k=9, method="clara", distMethod="manhattan")
names(cl1)
clustPlot(coord=humus[,2:3], clust=cl1, k=cl1$k, val="median.distance", Map="kola.background")

[Package clustTool version 1.6.1 Index]