f_mc: Variance Ratio Clusterability Across a Hyperplane

Description Usage Arguments Value

View source: R/MCDC.R

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

1
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


DavidHofmeyr/PPCI documentation built on March 9, 2020, 5:05 p.m.