silh.clus: Find the Number of Clusters by the Standard Silhouette...

In SLBDD: Statistical Learning for Big Dependent Data

Find the Number of Clusters by the Standard Silhouette Statistics

Description

Find the number of clusters by the standard Silhouette statistics. The cluster is hierarchical.

Usage

silh.clus(nClus, distanceMatrix, method)

Arguments

nClus	Maximum number of groups.
distanceMatrix	Matrix of distances.
method	Hierarchical method "single", "average","complete".

Value

A list containing:

• nClus - Number of groups

• list - Silhouette statistics for each value of nclus.

Examples

data(TaiwanAirBox032017)
output_gcc <- GCCmatrix(TaiwanAirBox032017[1:100,1:10])
output <- silh.clus(nClus=3,distanceMatrix=output_gcc$DM ,method="complete")

SLBDD documentation built on April 27, 2022, 5:08 p.m.