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SODC (version 1.0)

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

Description

To implement two clustering methods, ODC and SODC, for clustering datasets using optimal scoring, can also be used as an dimension reduction tool.

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Version

Install

install.packages('SODC')

Monthly Downloads

3

Version

1.0

License

GPL-2

Maintainer

Yanhong Wang

Last Published

May 23rd, 2013

Functions in SODC (1.0)

SODC-package

Sparse Optimal Discriminant Clustering
my.normdata.gen

Multipal normal data set with three clusters generation
get.hnx.B.initialW

Get initial input for SODC
sodc.clust

Sparse Optimal Discriminant Clustering
my.lasso.classify

Sparse Optimal Discriminant Clustering
hclust.wrap

hierarchical Clustering
odc.cv

Optimal Discriminant Clustering
sodc.optimallambda1.boot.all

Prediction and Kappa Selection of Tuning parameter lambda1 in SODC
clust.kappa

Agreement of Two Subset
odc.optimallambda2

Prediction and Cross-Validation Selection of Tuning parameter lambda2 in ODC
get.bj

Jth Group Submatrix of B
get.B.inorder

Get Ordered Predictors Matrix
get.w.remove.j

W as an vector
odc.clust

Optimal Discriminant Clustering