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KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 2 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 months ago
Clustering by weighted cuts in directed graphs
In this paper we formulate spectral clustering in directed graphs as an optimization problem, the objective being a weighted cut in the directed graph. This objective extends seve...
Marina Meila, William Pentney
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 5 months ago
Robust Clustering in Arbitrarily Oriented Subspaces
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Elke Achtert, Christian Böhm, Jörn David...
SDM
2004
SIAM
189views Data Mining» more  SDM 2004»
15 years 5 months ago
An Abstract Weighting Framework for Clustering Algorithms
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
Richard Nock, Frank Nielsen
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
15 years 2 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner