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Asymptotical optimality in cluster analysis

✍ Scribed by Kharin, Yurij S. ;Zhuk, Eugene E.


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
97 KB
Volume
15
Category
Article
ISSN
8755-0024

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✦ Synopsis


The problem of optimality and performance evaluation for cluster analysis procedures is investigated. For the situations where the classes are described by known or unknown prior probabilities and regular probability density functions with unknown parameters the asymptotic expansions of classiΓΏcation error probability are constructed. The results are illustrated for the case of well-known Fisher classiΓΏcation model.


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