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15

DATAMINE
2002

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Techniques of Cluster Algorithms in Data Mining

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Techniques of Cluster Algorithms in Data Mining

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An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measures and related optimization criteria for clusterings from the methods to create and modify clusterings themselves. In addition to this general setting and overview, the second focus is used on discussions of the essential ingredients of the demographic cluster algorithm of IBM's Intelligent Miner, based Condorcet's criterion.

Johannes Grabmeier, Andreas Rudolph

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Added	18 Dec 2010
Updated	18 Dec 2010
Type	Journal
Year	2002
Where	DATAMINE
Authors	Johannes Grabmeier, Andreas Rudolph

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