797 search results - page 54 / 160 » Adaptive Optimization of the Number of Clusters in Fuzzy Clu... |
147
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EUSFLAT
2003
15 years 7 months ago
2003
In this paper, the use of fuzzy models relating rainfall to catchment discharge is investigated for the Zwalm catchment in Belgium. The models are built along the lines of Gawedaâ...
191
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BMCBI
2006
15 years 6 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
168
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JMLR
2010
15 years 28 days ago
2010
Hartigan's method for k-means clustering is the following greedy heuristic: select a point, and optimally reassign it. This paper develops two other formulations of the heuri...
159
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MST
2010
15 years 27 days ago
2010
Cluster Editing is transforming a graph by at most k edge insertions or deletions into a disjoint union of cliques. This problem is fixed-parameter tractable (FPT). Here we comput...
166
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...