LDAopt {PPtreeViz} | R Documentation |
PP optimization using LDA index
LDAopt(origclass,origdata,q=1,weight=TRUE,...)
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 |
Find the q-dimensional optimal projection using LDA projectin pursuit index
indexbest maximum LDA index value
projbest optimal q-dimensional projection matrix
origclass original class information vector
origdata original data matrix without class information
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.
data(iris)
LDA.proj.result <- LDAopt(iris[,5],iris[,1:4])
LDA.proj.result$indexbest
LDA.proj.result$projbest