Classifying classification problems

Gower, J. C. (2004). Classifying classification problems. In: Comptes Rendus des Iles Rencontres de la Société Francophone de Classification (Chavent, M; Dordan, O; Lacomblez, C. C.; Langlais, M and Patouille, B eds.), pp. 41–47.

URL: http://www.sfc-classification.net/IMG/pdf/Actes_SF...

Abstract

Classification problems, both for assignment and class construction, are specified either in probabilistic form or not. Underlying issues are (i) the types of sampling unit under consideration: in particular, are they differentiated into previously determined classes (possibly with identical members) or are they undifferentiated and (ii) considerations of the types of variable used; are they quantitative or categorical? Rather than a simple data-matrix, the fundamental form of data is taken to be the between and within-group structure. These considerations lead to a simple cross-classification of familiar, and some novel, classification problems.

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About

• Item ORO ID
• 22605
• Item Type
• Conference or Workshop Item
• Keywords
• probabilistic classification; non-probabilistic classification; classes; groups; assignment; class construction; approximation
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2004 The Author
• Depositing User
• Sarah Frain