Methods for the group classification of multi-attribute objects (part 2)

Methods for the group classification of multi-attribute objects (part 2)

A new approach is considered to the group classification of objects that are described by many qualitative and/or attributes and can exist in several versions. New techniques are discussed for the aggregation of multi-attribute objects and the properties of the generated classes. Clustering and sort...

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Veröffentlicht in:Scientific and technical information processing 2010-12, Vol.37 (5), p.357-368
1. Verfasser: Petrovsky, A. B.
Format: Artikel
Sprache:eng
Schlagworte:
Agglomeration
Classification
Cluster analysis
Clustering
Computer Science
Computer Systems Organization and Communication Networks
Group Decision Making
Metric space
Metric system
Sorting
Technical information
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Beschreibung
Zusammenfassung:A new approach is considered to the group classification of objects that are described by many qualitative and/or attributes and can exist in several versions. New techniques are discussed for the aggregation of multi-attribute objects and the properties of the generated classes. Clustering and sorting methods are based on the theory of multiset metric spaces.
ISSN:0147-6882
1934-8118
DOI:10.3103/S0147688210050114