k_manhattan: Title Gap statisic with k-medoids manhattan

In HBPMedical/CCC: A wrapper to run the 3C methodology

Description

Title Gap statisic with k-medoids manhattan

Usage

k_manhattan(x, K.max, diss, B, cluster.only, verbose, plot.num.clus)

Arguments

x	data matrix
K.max	positive integer specifying the number of clusters, less than the number of observations. Default value is 10.
diss	if TRUE (default as FALSE) x will be considered as a dissimilarity matrix
B	integer, number of Monte Carlo (“bootstrap”) samples. Default value is 100.
cluster.only	if true (default) only the clustering will be computed and returned, see details.
verbose	integer or logical, determining if “progress” output should be printed. The default prints one bit per bootstrap sample. Default as FALSE.
plot.num.clus	if TRUE (default) the gap statistic plot will be printed
...	another objects of pam function

Value

clusGap function' output

Examples

#  k_manhattan (subx, K.max = 8, diss=FALSE, B = 50, cluster.only = TRUE, verbose = FALSE)

HBPMedical/CCC documentation built on May 28, 2019, 12:40 p.m.