Universal clustering with regularization in probabilistic space

Nikulin, Vladimir and Smola, Alex J. (2005). Universal clustering with regularization in probabilistic space. In: Petra Perner and Atsushi Imiya, Machine Learning and Data Mining in Pattern Recognition, Serie: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, LNAI 3587: Proceedings Conference MLDM 2005. 4th International Conference, MLDM 2005, Leipzig, Germany, (142-152). 9-11 July 2005. doi:10.1007/11510888_15


Author Nikulin, Vladimir
Smola, Alex J.
Title of paper Universal clustering with regularization in probabilistic space
Conference name 4th International Conference, MLDM 2005
Conference location Leipzig, Germany
Conference dates 9-11 July 2005
Proceedings title Machine Learning and Data Mining in Pattern Recognition, Serie: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, LNAI 3587: Proceedings Conference MLDM 2005   Check publisher's open access policy
Journal name Machine Learning and Data Mining in Pattern Recognition, Proceedinds   Check publisher's open access policy
Place of Publication Leipzig, Germany
Publisher Springer Verlag
Publication Year 2005
Sub-type Fully published paper
DOI 10.1007/11510888_15
ISBN 3-540-26923-1
ISSN 0302-9743
1611-3349
Editor Petra Perner
Atsushi Imiya
Volume 3587
Start page 142
End page 152
Total pages 11
Language eng
Formatted Abstract/Summary
We propose universal clustering in line with the concepts
of universal estimation. In order to illustrate above model we introduce
family of power loss functions in probabilistic space which is marginally
linked to the Kullback-Leibler divergence. Above model proved to be
effective in application to the synthetic data. Also, we consider large webtraffic
dataset. The aim of the experiment is to explain and understand
the way people interact with web sites.
The paper proposes special regularization in order to ensure consistency
of the corresponding clustering model.
Subjects 0199 Other Mathematical Sciences
Keyword Webtraffic dataset
clustering model
Q-Index Code EX
Additional Notes Serie: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,LNAI 3587

 
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Created: Wed, 07 Jul 2010, 01:48:39 EST by Ms May Balasaize on behalf of Faculty of Science