5659 search results - page 183 / 1132 » Comparing Clusterings in Space |
120
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TFS
2008
15 years 3 months ago
2008
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
144
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TKDE
2008
15 years 3 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
144
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ISCI
2002
15 years 3 months ago
2002
Video information processing has been one of great challenging areas in the database community since it needs huge amount of storage space and processing power. In this paper, we ...
128
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JMLR
2011
14 years 11 months ago
2011
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
130
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AAAI
2012
13 years 6 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...