512 search results - page 6 / 103 » k-Means Projective Clustering |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
SIGMOD
2000
ACM
14 years 9 days ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
CVPR
1999
IEEE
14 years 10 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
KES
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...