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Last data update: 2014.03.03

R: Matrix Factorization Based on Hierarchical Clustering

prismaHclust

R Documentation

Matrix Factorization Based on Hierarchical Clustering

Description

A matrix factorization A = B C based on the results of hclust is constructed, which holds the mean feature values for each cluster in the matrix B and the indication of the cluster in the matrix C 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 B and C resulting from the hierarchical clustering of the data.

Author(s)

Tammo Krueger <tammokrueger@googlemail.com>

Examples

# please see the vingette for examles