ls_clust {lazy.cluster}

R Documentation

k-means cluster analysis

Description

This function uses stats::kmeans to perform Least Squares cluster analysis under homoschedastic multivariate normal model.
The main purpose of this function is to be used from "dhclust" function.

Usage

ls_clust(df, ncl = 2, maxiter = 100, nstart = 1,
  init_method = "ward.D2", algorithm = "Hartigan-Wong", print = 1)

Arguments

df	obs x variable data frame
ncl	# of clusters to be sought
maxiter	max # of iterations
nstart	= 0 to use hclust solution as the initial = n to use n random initails.
init_method	method for hclust
algorithm	parameter for kmeans
print	= 1 or 2 to print some result

Details

Since native kmeans does not work when nrow(df) == ncl,
including the case where nrow(df) == 2, some modifications were made
to the final result.

Value

A class "kemans" object which has
betweenss, totss, tot.withinss
are added.

Examples

resml <- ml_clust( circle2, 5, print=2 )

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