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ESANN
2004
13 years 9 months ago
Robust Bayesian Mixture Modelling
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
Christopher M. Bishop, Markus Svensén
AIRS
2005
Springer
13 years 9 months ago
Fuzzy Post-clustering Algorithm for Web Search Engine
Abstract. We propose a new clustering algorithm satisfying requirements for the post-clustering algorithms as many as possible. The proposed “Fuzzy Concept ART” is the form of ...
Younghee Im, Jiyoung Song, Daihee Park
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
CIKM
2000
Springer
14 years 2 days ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
14 years 2 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika