prismaHclust: Matrix Factorization Based on Hierarchical Clustering
In yasong/PRISMA: Protocol Inspection and State Machine Analysis

Description Usage Arguments Value Author(s) See Also Examples

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).

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

`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.