319 search results - page 11 / 64 » Combining Multiple Weak Clusterings |
102
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SIGIR
2010
ACM
15 years 6 days ago
2010
ACM
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
ECSQARU
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. In this paper, belief functions, defined on the lattice of partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. W...
ECOOP
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We present F(Eml), a language that combines classes, extensible functions, symmetric multiple dispatching, and a practical system for parameterized modules. Parameterized...
118
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ISBI
2011
IEEE
14 years 3 months ago
2011
IEEE
Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusio...
105
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CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...