{"name":"PPopt","title":"Projection pursuit optimization","pagetitle":"Projection pursuit optimization — PPopt","aliases":"PPopt","author":[],"keywords":["projection","pursuit"],"description":"

PP optimization using various projection pursuit indices

","usage":"PPopt(origclass,origdata,q=1,PPmethod=\"LDA\",weight=TRUE,r=1,\n lambda=0.1,energy=0,cooling=0.999,TOL=0.0001,maxiter = 50000)","arguments":[{"name":"origclass","description":"

class information vector

"},{"name":"origdata","description":"

data matrix without class information

"},{"name":"q","description":"

dimension of projection matrix

"},{"name":"PPmethod","description":"

method for projection pursuit; \"LDA\", \"PDA\", \"Lr\", \"GINI\", \nand \"ENTROPY\"

"},{"name":"weight","description":"

weight flag in LDA, PDA and Lr index

"},{"name":"r","description":"

r in Lr index

"},{"name":"lambda","description":"

lambda in PDA index

"},{"name":"energy","description":"

energy parameter

"},{"name":"cooling","description":"

cooling parameter

"},{"name":"TOL","description":"

tolerance

"},{"name":"maxiter","description":"

number of maximum iteration

"}],"has_args":true,"examples":"# NOT RUN {\ndata(iris)\nPP.proj.result <- PPopt(iris[,5],as.matrix(iris[,1:4]))\nPP.proj.result\n# }\n","sections":[],"value":"

indexbest maximum LDA index value

projbest optimal q-dim projection matrix

origclass original class information vector

origdata original data matrix without class information

","details":"

Find the q-dim optimal projection using various projectin pursuit indices \nwith class information

","references":"

Lee, EK., Cook, D., Klinke, S., and Lumley, T.(2005) \nProjection Pursuit for exploratory supervised classification, \nJournal of Computational and Graphical statistics, 14(4):831-846.

","package":{"package":"PPtreeViz","version":"2.0.4"}}

Description

Usage

Arguments

Value

Details

References

Examples