score_calc {SparseMDC}

Score calculator

Description

Calculates the score for each combination of cluster assignments and center values. This function runs inside sparse_mdc.

Usage

score_calc(pdat, clusters, mu, lambda1, lambda2, nclust, delta, dim)

Arguments

pdat

list with D entries, each entry contains data d, p * n matrix. This data should be centered and log-transformed.

clusters

List containig cluster assignments for each dimension as entries.

mu

list with D entries, each entry contains centers for data d, p*k matrix.

lambda1

Penalty parameter for mean size.

lambda2

Penalty parameter for mean difference.

nclust

Number of clusters in the data.

delta

Small term to ensure existance of solution, default is 0.0000001.

dim

Total number of conditions, D.

Value

The caluculated score.