319 search results - page 11 / 64 » Combining Multiple Weak Clusterings |
SIGIR
2010
ACM
13 years 9 months 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
14 years 3 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
14 years 19 days 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...
ISBI
2011
IEEE
13 years 20 days 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...
CVPR
2003
IEEE
14 years 11 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 ...