4009 search results - page 157 / 802 » Clustering on Complex Graphs |
328
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ICDE
1999
IEEE
16 years 5 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
151
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SSDBM
2006
IEEE
15 years 10 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
170
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CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
119
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BIBE
2004
IEEE
15 years 7 months ago
2004
IEEE
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
132
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...