Compare clusters

For each cluster as specified by rows.for.each.cluster, box plots are generated for each column as specified in name.of.values.to.compare.

generate.plots.comparing.clusters(
  data.input,
  rows.for.each.cluster,
  name.of.values.to.compare
)

Arguments

data.input	A dataframe
rows.for.each.cluster	A numerical vector that indicates which cluster each observation (row in data.input) belongs to
name.of.values.to.compare	A vector of strings that indicates the columns in the data.input that should be

Value

No objects are returned, but a plot will be outputted.

See also

Other Clustering functions: CalcOptimalNumClustersForKMeans(), GenerateParcoordForClusters(), HierarchicalClustering(), generate.2D.clustering.with.labeled.subgroup(), generate.3D.clustering.with.labeled.subgroup()

Examples

example.data <- data.frame(x = c(18, 21, 22, 24, 26, 26, 27, 30, 31,
                                 35, 39, 40, 41, 42, 44, 46, 47, 48, 49, 54, 35, 30),
                          y = c(10, 11, 22, 15, 12, 13, 14, 33, 39, 37, 44,
                                27, 29, 20, 28, 21, 30, 31, 23, 24, 40, 45))

#dev.new()
plot(example.data$x, example.data$y)

km.res <- stats::kmeans(example.data[,c("x", "y")], 3, nstart = 25, iter.max=10)

grouped <- km.res$cluster

generate.plots.comparing.clusters(example.data, grouped, c("x", "y"))