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treeClust (version 1.1-7)

Cluster Distances Through Trees

Description

Create a measure of inter-point dissimilarity useful for clustering mixed data, and, optionally, perform the clustering.

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Version

Install

install.packages('treeClust')

Monthly Downloads

835

Version

1.1-7

License

GPL (>= 2)

Maintainer

Sam Buttrey

Last Published

May 12th, 2018

Functions in treeClust (1.1-7)

cramer

Compute Cramer's V for a two-way table
leaf.numbers

Convert "where" entry of tree frame into leaf numbers
summary.treeClust

Summarize treeClust object
make.leaf.paths

Make matrix of leaf paths
rp.deviance

Compute deviance within nodes of classification trees
rpart.predict.leaves

Return the leaf into which observations are predicted to fall
tcnewdata

Create all-numeric data to mimic the inter-point distances from treeClust
tcdist

Compute treeClust dissimilarities
d3.dist

D3-style dissimilarity for a single tree
treeClust

Build a tree-based dissimilarity for clustering, and optionally perform the clustering
plot.treeClust

Plot treeClust object
treeClust.control

Parameters describing the output from a treeClust fit
print.treeClust

Print treeClust object
treeClust.dist

Built treeClust distance
treeClust.rpart

Build an rpart tree as part of treeClust