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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Tree Structured Classifier for Symbolic Class Description
verfasst von : Edwin Diday, M. Mehdi Limam, Suzanne Winsberg
Erschienen in: Data Analysis and Decision Support
Verlag: Springer Berlin Heidelberg
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We have a class of statistical units from a population, for which the data table may contain symbolic data; that is rather than having a single value for an observed variable, an observed value for the aggregated statistical units we treat here may be multivalued. Our aim is to describe a partition of this class of statistical units by further partitioning it, where each class of the partition is described by a conjunction of characteristic properties. We use a stepwise top-down binary tree method. At each step we select the best variable and its optimal splitting to optimize simultaneously a discrimination criterion given by a prior partition and a homogeneity criterion; we also aim to insure that the descriptions obtained describe the units in the class to describe and not the rest of the population. We present a real example.