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Erschienen in:
2000 | OriginalPaper | Buchkapitel
Clustering Methods for Symbolic Objects
verfasst von : Marie Chavent, Hans-Hermann Bock
Erschienen in: Analysis of Symbolic Data
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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One of the most common tasks in (classical as well as symbolic) data analysis is the detection and construction of ‘homogeneous’ groups C1, C2,… of objects in a population Ω or E such that objects from the same group show a high similarity whereas objects from different groups are typically more dissimilar. Such groups are usually called ‘clusters’ and must be constructed on the basis of the (classical or symbolic) data which were recorded for the objects.