Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software
نویسنده
چکیده
In this paper we propose an automatic method of generating Symbolic Objects in the following framework: description of a partition by symbolic objects that takes into account two aspects, that may be called homogeneity and discrimination criteria. This method belongs to a family of algorithms named MGS (Marking and Generalization by Symbolic Objects) in [GETSUM98], which may be applied either to Factorial Analysis interpretation in [GETSUM92][VERGIOGETSUM97], to interpretation of partitions [GETSUMPERFER94], or to summarizing huge databases in
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