f_mc: Variance Ratio Clusterability Across a Hyperplane

In PPCI: Projection Pursuit for Cluster Identification

Description

Finds the variance ratio clusterability measured across the best hyperplane orthogonal to a given projection vector. Used as projection index for projection pursuit to find maximum clusterability hyperplanes.

Usage

f_mc(v, X, P)

Arguments

v	a numeric vector of length ncol(X)
X	a numeric matrix (num_data x num_dimensions) to be projected on v
P	a list of parameters including (at least) $nmin (positive integer minimum cluster size)

Value

the value of the variance ratio across the best hyperplane orthogonal to v

PPCI documentation built on March 13, 2020, 3:27 a.m.