f_mc {PPCI} | R Documentation |
Variance Ratio Clusterability Across a Hyperplane
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
[Package PPCI version 0.1.5 Index]