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» Memetic Algorithms for Feature Selection on Microarray Data
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BMCBI
2008
117views more  BMCBI 2008»
15 years 19 days ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
ICML
2008
IEEE
16 years 1 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
103
Voted
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
16 years 28 days ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
CVPR
1998
IEEE
16 years 2 months ago
Interactive Sensor Planning
This paper describes an interactive sensor planning system that can be used to select viewpoints subject to camera visibility, field of view and task constraints. Application area...
Ioannis Stamos, Peter K. Allen
108
Voted
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 28 days ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...