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treeClust (version 1.1-7.1)
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
Version
1.1-7.1
1.1-7
1.1-6
1.1-1
1.0-0
0.2-2
Install
install.packages('treeClust')
Monthly Downloads
517
Version
1.1-7.1
License
GPL (>= 2)
Maintainer
Sam Buttrey
Last Published
July 10th, 2025
Functions in treeClust (1.1-7.1)
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treeClust.rpart
Build an rpart tree as part of treeClust
treeClust.dist
Built treeClust distance
rpart.predict.leaves
Return the leaf into which observations are predicted to fall
print.treeClust
Print treeClust object
plot.treeClust
Plot treeClust object
treeClust.control
Parameters describing the output from a treeClust fit
tcdist
Compute treeClust dissimilarities
treeClust
Build a tree-based dissimilarity for clustering, and optionally perform the clustering
summary.treeClust
Summarize treeClust object
leaf.numbers
Convert "where" entry of tree frame into leaf numbers
cramer
Compute Cramer's V for a two-way table
make.leaf.paths
Make matrix of leaf paths
d3.dist
D3-style dissimilarity for a single tree
rp.deviance
Compute deviance within nodes of classification trees
tcnewdata
Create all-numeric data to mimic the inter-point distances from treeClust