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» A Semi-Supervised Document Clustering Algorithm Based on EM
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MLDM
2005
Springer
15 years 7 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
CIARP
2004
Springer
15 years 7 months ago
Parallel Algorithm for Extended Star Clustering
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
Reynaldo Gil-García, José Manuel Bad...
IIS
2004
15 years 3 months ago
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present...
Stanislaw Osinski, Jerzy Stefanowski, Dawid Weiss
ISICA
2007
Springer
15 years 7 months ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
WAW
2009
Springer
187views Algorithms» more  WAW 2009»
15 years 8 months ago
Cluster Based Personalized Search
We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and imple...
Hyun Chul Lee, Allan Borodin