797 search results - page 20 / 160 » Adaptive Optimization of the Number of Clusters in Fuzzy Clu... |
102
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CEC
2007
IEEE
15 years 1 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
112
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ECML
2006
Springer
15 years 3 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
157
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VLDB
1999
ACM
1999
ACM
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
15 years 4 months ago
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
FUZZIEEE
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
112
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TSMC
2008
14 years 11 months ago
2008
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...