108 search results - page 12 / 22 » Clustering with Bregman Divergences |
ISCI
2008
13 years 7 months ago
2008
The importance of suitable distance measures between intuitionistic fuzzy sets (IFSs) arises because of the role they play in the inference problem. A concept closely related to o...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
AAAI
2010
13 years 9 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...