cluster_euclidean: Title Clustering Using Euclidean distances

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

Description

Title Clustering Using Euclidean distances

Usage

cluster_euclidean(x, k.gap, plot.clustering)

Arguments

x	data matrix
k.gap	positive integer specifying the number of clusters, less than the number of observation. Default value is 10.
plot.clustering	if TRUE (default) a 2-dimensional “clusplot” plot will be printed

Value

vector with the new assigned clusters

Examples

# cluster_euclidean(subx,  k.gap = 5, plot.clustering = TRUE)

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