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. |