94 search results - page 8 / 19 » A probabilistic framework for semi-supervised clustering |
ICCSA
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
NIPS
2003
13 years 9 months ago
2003
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
AAAI
2012
11 years 10 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...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...