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On the Complexity of Ordinal Clustering

โœ Scribed by Rahul Shah; Martin Farach-Colton


Book ID
106042246
Publisher
Springer
Year
2006
Tongue
English
Weight
240 KB
Volume
23
Category
Article
ISSN
0176-4268

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The additive clustering approach to modeling pairwise similarity of entities is a powerful tool for deriving featural stimulus representations. In a recent paper, Lee (2001) proposes a statistically principled measure for choosing between clustering models that accounts for model complexity as well