LDAopt {PPtreeViz} | R Documentation |
PP optimization using LDA index
Description
PP optimization using LDA index
Usage
LDAopt(origclass,origdata,q=1,weight=TRUE,...)
Arguments
origclass |
class information vector of data |
origdata |
data matrix without class information |
q |
dimension of projection vector |
weight |
weight flag in LDA index |
... |
arguments to be passed to methods |
Details
Find the q-dimensional optimal projection using LDA projectin pursuit index
Value
indexbest maximum LDA index value
projbest optimal q-dimensional projection matrix
origclass original class information vector
origdata original data matrix without class information
References
Lee, EK., Cook, D., Klinke, S., and Lumley, T.(2005) Projection Pursuit for Exploratory Supervised Classification, Journal of Computational and Graphical Statistics, 14(4):831-846.
Examples
data(iris)
LDA.proj.result <- LDAopt(iris[,5],iris[,1:4])
LDA.proj.result$indexbest
LDA.proj.result$projbest
[Package PPtreeViz version 2.0.4 Index]