The Open UniversitySkip to content
 

Classifying classification problems

Gower, John (2004). Classifying classification problems. In: 11èmes Rencontres de la Société Francophone de Classification (SFC'04), September 2004, Bordeaux, France, Information not provided, pp. 41–47.

URL: http://www.sfc-classification.net/IMG/pdf/Actes_SF...
Google Scholar: Look up in Google Scholar

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.

Item Type: Conference Item
Copyright Holders: 2004 The Author
Keywords: probabilistic classification; non-probabilistic classification; classes; groups; assignment; class construction; approximation
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Item ID: 22605
Depositing User: Sarah Frain
Date Deposited: 26 Aug 2010 14:08
Last Modified: 02 Dec 2010 21:01
URI: http://oro.open.ac.uk/id/eprint/22605
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk