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» The Information Bottleneck EM Algorithm
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AIRS
2004
Springer
14 years 27 days ago
Document Clustering Using Linear Partitioning Hyperplanes and Reallocation
This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...
Canasai Kruengkrai, Virach Sornlertlamvanich, Hito...
ICIP
2001
IEEE
14 years 9 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
SCALESPACE
2009
Springer
14 years 2 months ago
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
Christoph Brune, Alex Sawatzky, Martin Burger
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
14 years 1 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
CSDA
2006
91views more  CSDA 2006»
13 years 7 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...