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» A Set Correlation Model for Partitional Clustering
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SADM
2010
141views more  SADM 2010»
13 years 2 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
MLDM
2005
Springer
14 years 1 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
BIOINFORMATICS
2010
84views more  BIOINFORMATICS 2010»
13 years 7 months ago
partDSA: deletion/substitution/addition algorithm for partitioning the covariate space in prediction
The partDSA package (Molinaro, Lostritto, and Weston 2009) provides a novel recursive partitioning tool for prediction when numerous variables jointly affect the outcome. In such ...
Annette M. Molinaro, Karen Lostritto, Mark J. van ...
CEC
2005
IEEE
14 years 1 months ago
Improvements to the scalability of multiobjective clustering
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
Julia Handl, Joshua D. Knowles
ACL
2010
13 years 5 months ago
Optimizing Question Answering Accuracy by Maximizing Log-Likelihood
In this paper we demonstrate that there is a strong correlation between the Question Answering (QA) accuracy and the log-likelihood of the answer typing component of our statistic...
Matthias H. Heie, Edward W. D. Whittaker, Sadaoki ...