odc.cv: Optimal Discriminant Clustering

In SODC: Optimal Discriminant Clustering(ODC) and Sparse Optimal Discriminant Clustering(SODC)

Description

To obtain ODC components and other relevant predictions in ODC method.

Usage

odc.cv(data, k, lambda2)

Arguments

data	A numberic dataset matrix.
k	An integer scalar with the desired number of groups.
lambda2	L2 penalty parameter, if lambda2=-1, then odc.clust choose the optimal lambda2 automatically given lambda2.idx. Otherwise perfoms ODC clustering using given lambda2.

Value

Z	The ODC component.It is an n by k-1 matrix where n is the number of observations.
yhat	Predicted scoring matrix Y using ODC method.
what	Predicted W using ODC method.
s	Predicted S using ODC method.
hnx	The product of an n by n centering matrix and the input data matrix.

SODC documentation built on May 2, 2019, 3:35 p.m.