mu_solver: Mu Solver

In SparseMDC: Implementation of SparseMDC Algorithm

Description

Calculates the regularized center values for a cluster. This function runs inside sparse_mdc.

Usage

mu_solver(d, mu, v, EQ, dim, x, nk, p1, p2, delta)

Arguments

d	- The current condition.
mu	- A matrix of regularized mean values.
v	- Relationship matrix, describing relationship between d-1 and d.
EQ	- Equality matrix specifying the number of following terms to which mu_d is equal.
dim	- Total dimensions.
x	- Matrix of mean values.
nk	- Vector with the number of samples in each condition for this cluster.
p1	- Penalties on mean size.
p2	- Penalties on mean difference.
delta	Small term to ensure existance of solution.

Value

A matrix containing the regularized cluster means for each dimension.

SparseMDC documentation built on May 2, 2019, 4:01 a.m.