33 search results - page 1 / 7 » Belief Functions and Cluster Ensembles |
ECSQARU
2009
Springer
13 years 11 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...
IJAR
2008
13 years 4 months ago
2008
We develop a method for clustering all types of belief functions, in particular non-consonant belief functions. Such clustering is done when the belief functions concern multiple ...
SIGMOD
2011
ACM
12 years 7 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
WILF
2007
Springer
13 years 10 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...