METHOD AND DEVICE FOR GENERATING A CLASSIFYING TREE TO UNIFY SUPERVISED AND NON-SUPERVISED APPROACHES, COMPUTER PROGRAM PRODUCT AND CORRESPONDING STORAGE MEDIUM

摘要

The invention relates to a method of generating a classification tree (7) according to a classification model and from a set of data to be classified (1) described by a set of attributes. According to the invention, the method comprises a step of obtaining the classification model, itself comprising a step (53) of defining a mode of use for each attribute consisting in specifying which property (s) has the attribute among the at least two following properties, not exclusive of each other: an attribute is marked target if it is to be explained; an attribute is marked taboo if it is not to be used as an explanatory attribute, an untagged attribute taboo being an explanatory attribute. In addition, the classification model belongs to the group comprising: classification models supervised to a target attribute, in each of which a single attribute is marked target and taboo, the untagged target attributes not being tagged taboo; supervised classification models with several target attributes, in each of which at least two attributes, but not all the attributes, are marked target and taboo, the untagged target attributes not being tagged taboo; and unsupervised classification models, in each of which all attributes are marked target, and at least one attribute is not tagged taboo.