847 search results - page 42 / 170 » Approximation algorithms for projective clustering |
117
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
104
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SDM
2003
SIAM
15 years 1 months ago
2003
SIAM
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
113
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CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
95
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
124
Voted
CIKM
2006
Springer
15 years 4 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...