25 search results - page 2 / 5 » Optimized data fusion for K-means Laplacian clustering |
121
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CVPR
1999
IEEE
16 years 3 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...
118
Voted
RIAO
2007
15 years 2 months ago
2007
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
113
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
116
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SDM
2009
SIAM
15 years 10 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
112
Voted
EWSN
2004
Springer
16 years 19 days ago
2004
Springer
A surveillance area is to be monitored using a grid network of heterogeneous sensor nodes. There are two types of nodes; type 0 nodes which perform sensing and relaying of data wit...