5880 search results - page 364 / 1176 » Data Clustering: A Review |
161
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COLT
2006
Springer
15 years 10 months ago
2006
Springer
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
177
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SAC
2008
ACM
15 years 6 months ago
2008
ACM
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
239
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JDCTA
2010
15 years 1 months ago
2010
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
241
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TNN
2010
15 years 1 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
251
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JMLR
2012
13 years 9 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...