prismaHclust {PRISMA}R Documentation

Matrix Factorization Based on Hierarchical Clustering

Description

A matrix factorization A=BCA = B C based on the results of hclust is constructed, which holds the mean feature values for each cluster in the matrix BB and the indication of the cluster in the matrix CC for each data point (i.e. each data point is represented by its assigned cluster center).

Usage

prismaHclust(prismaData, ncomp, method = "single")

Arguments

prismaData

PRISMA data for which a clustering should be calculated.

ncomp

the number of components that should be extracted.

method

the method used for clustering.

Value

prismaHclust

Matrix factorization object containing BB and CC resulting from the hierarchical clustering of the data.

Author(s)

Tammo Krueger <tammokrueger@googlemail.com>

See Also

hclust

Examples

# please see the vingette for examles

[Package PRISMA version 0.2-7 Index]