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» A Semi-Supervised Document Clustering Algorithm Based on EM
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MLDM
2005
Springer
15 years 9 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 9 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 5 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 10 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 10 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