get.hnx.B.initialW: Get initial input for SODC

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

Description

To perform ODC method and use some transformation to get the initial input for SODC.

Usage

get.hnx.B.initialW(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

y.initial	The vector derived from the predicted sample scoring matrix Y by ODC.
w.initial	The vector derived from the predicted W by ODC.
what	The predicted W by ODC.
yhat	The predicted sample scoring matrix Y by ODC.
B	A block diagonal matrix with the diagonal component as the normalized Hnx.
hnx	The product of a n by n centering matrix and the input data matrix.

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