prismaHclust: Matrix Factorization Based on Hierarchical Clustering

In PRISMA: Protocol Inspection and State Machine Analysis

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 <[e-mail]>

See Also

hclust

Examples

# please see the vingette for examles

Example output

Loading required package: Matrix
Loading required package: gplots

Attaching package: 'gplots'

The following object is masked from 'package:stats':

    lowess

Loading required package: ggplot2

PRISMA documentation built on May 1, 2019, 10:15 p.m.