PPtree (version 2.3.0)

PDA.Tree: Find PP tree structure using PDA

Description

Find tree structure using projection pursuit in each split.

Usage

PDA.Tree(i.class, i.data, weight = TRUE, lambda=1, ...)

Arguments

i.data

A training data without class information

i.class

class information

weight

weight flag using in LDA index

lambda

a parameter for PDA index

...

...

Value

Tree.Struct

Tree structure

Alpha.Keep

1D projection of each split

C.Keep

spliting rule for each split

References

Lee, E., Cook, D., and Klinke, S.(2002) Projection Pursuit indices for supervised classification

See Also

PPindex.class, PP.optimize

Examples

data(iris)
n <- nrow(iris)
tot <- c(1:n)
n.train <- round(n*0.9)
train <- sample(tot,n.train)
test <- tot[-train]

Tree.result <- PDA.Tree(iris[train,5],iris[train,1:4])
Tree.result