sodc.optimallambda1.boot.all: Prediction and Kappa Selection of Tuning parameter lambda1 in...

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

Description

To perform bootstrap Kappa selection method , for selecting tuning parameter lambda1 in SODC.

Usage

sodc.optimallambda1.boot.all(data, centers, boot.num = 20, l1.idx = seq(-3, 3, by = 6/20))

Arguments

data	A numberic dataset matrix.
centers	An integer scalar with the desired number of groups.
boot.num	The numbers of bootstrap iteration for selecting tuning parameter lambda1.
l1.idx	A sequence of index numbers from which one can get a sequence of lambda1 values by calculating 10^l1.idx.

Value

boot.r	An array of numbers indicating the average kappa coefficient values corresponding lambda1 array.
boot.s	A matrix indicating the kappa coefficient values, each boot.num-dimension column vector indicates the kappa coefficient value for the corresonding lambda1 value in lambda array.
lambda1	A array of numbers lambda1 from which to choose the optimal lambda1.
opt.lambda1	The chosen optimal lambda1.

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