hierarchicalCluster {Evacluster}

hierarchical clustering

Description

This function seeks to build a hierarchy of clusters

Usage

hierarchicalCluster(data = NULL, distmethod = NULL, clusters = NULL, ...)

Arguments

data

A Data set

distmethod

The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski".

clusters

The number of Clusters

...

Additional parameters passed to hclust function

Value

A list of cluster labels

Examples

library(datasets)
data(iris)

rndSamples <- sample(nrow(iris),100)
trainData <- iris[rndSamples,]
testData <- iris[-rndSamples,]

cls <- hierarchicalCluster(trainData[,1:4],distmethod="euclidean",clusters=3)