clustA: Joining Clustering methods

In anwaarms/package-clustA:

Description

this function prints the plot of a kmeans clustering as well as the Ward Hierarchical Clustering along with the optimal number of clusters proposed by kmeans

Usage

clustA(data,kmeanclust,fit)

Arguments

data	The dataset to which you will apply the clustering process, no missing values allowed.
kmeanclust	An object obtained after using kmeans and defining a prior number of clusters
fit	It's an hclust object that generates a Cluster Dendrogram.

Author(s)

Anwaar Msehli

Examples

require(cluster)
require(factoextra)
data=USArrests
kmeanclust= kmeans(df, 4)
d <- dist(df, method = "euclidean")
fit <- hclust(d, method="ward.D")
clustA(data,kmeanclust,fit)

anwaarms/package-clustA documentation built on June 1, 2019, 4:03 a.m.