25 search results - page 2 / 5 » Optimized data fusion for K-means Laplacian clustering |
CVPR
1999
IEEE
14 years 6 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...
RIAO
2007
13 years 6 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 ...
ICML
2007
IEEE
14 years 5 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...
SDM
2009
SIAM
14 years 2 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...
EWSN
2004
Springer
14 years 4 months 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...