1595 search results - page 81 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
165
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ICPR
2008
IEEE
16 years 22 days ago
2008
IEEE
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
183
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EMMCVPR
2003
Springer
15 years 11 months ago
2003
Springer
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
159
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ICNC
2005
Springer
15 years 11 months ago
2005
Springer
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
179
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TJS
2010
15 years 4 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
203
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...