20 search results - page 1 / 4 » Feature selection for clustering with constraints using Jens... |
89
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
107
Voted
CVPR
2005
IEEE
15 years 6 months ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
108
Voted
KDD
2002
ACM
16 years 1 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&...
123
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MCS
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
114
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ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...