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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. |