Clustering using Binary Trees.


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Documentation for package ‘cubt’ version 3.3

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CUBT-package Package for Clustering Using Binary Trees.
clean Aggregates sibling leaves having the same label in a joined cubt tree.
const.frame Constructs the frame for a cubt object. Only for internal use
crit Computes the criterion used for the tree construction.
CUBT Package for Clustering Using Binary Trees.
cubt Construct a clustering unsupervised binary tree, the maximal tree, main function.
cv.strat Computes a random stratified sampling.
descendants descendants
descendants.leaf descendants.leaf
dev.cubt Computes deviance within a node. Only for internal use.
deviance.cubt deviance.cubt
devpart Computes the total intragroup deviance of a partition.
diff.dev diff.dev ~~function to do ... ~~
distAB Computes distance between nodes as defined in the original reference.
error Computes misclassification error for simulated data where the original clusters are known.
gendata Generating data from models discribed in the original paper.
gendata2 Generating data from models discribed in the Qualittaive version of CUBT.
hamming.distance hamming.distance
im Computes Mutual information between columns of a matrix.
join.cubt Join non adjacent leaves of an unsupervised classification tree
labels.cubt Internal function for package CUBT Used for labelling the tree plot.
leaf Retrieve leaves names from a cubt tree.
mat.min Computes the column number where the minimum is reached within each row of a matrix.
node.match node.match
opt.minsize Optimizes the minsize parameter by cross validation.
ordonne Sorts a cubt frame as needed for the plot.cubt function. Only for internal use.
plot.cubt Plots a cubt tree.
predict.clus predict.clus ~~function to do ... ~~
predict.cubt Computes predictions from a cubt tree.
print.cubt Prints a CUBT object.
prune.cc Prune a cubt tree using cost complexity pruning.
prune.cubt Prune a cubt tree.
rand.strat.samp Computes a random stratified test sample.
snip.cubt snip.cdt
split.node Computes the optimal split for a node using a criterion defined by crit.
text.cubt Put labels on the tree plot.
tree.depth Computes the depth of a tree from the list of nodes numbers.
treeco Computes coordinates for tree plot. Only for internal use.
treepl Preparing for the tree plot. Only for internal use.
variable.importance Computes variables importance from a CUBT tree
where Computes the cluster of each observation used in the tree construction.