In many situations, we want to characterize a subset of the dataset. The GROUP CHARACTERIZATION component allows comparing several subgroups, it computes and compares descriptive statistics on the subsets. But, this component performs univariate analysis. It uses individually the attributes and does not analyze the possible interaction between two or more variables.
In this tutorial, we show a new component SPV ASSOC TREE that allows characterizing a subset of examples with the conjunction of variables. In fact, it is a “supervised like” association rule algorithm where we define the consequent of the rule.
Keywords: association rules, clusters characterization, clustering
Components: Group Characterization, Spv Assoc Tree
Tutorial: en_Tanagra_Spv_Assoc_Tree.pdf
Dataset: vote.txt
