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» Clustering Multivariate Normal Distributions
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SSPR
2000
Springer
13 years 11 months ago
A New Approximation Method of the Quadratic Discriminant Function
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
JSC
2006
102views more  JSC 2006»
13 years 7 months ago
Counting and locating the solutions of polynomial systems of maximum likelihood equations, I
In statistics, mixture models consisting of several component subpopulations are used widely to model data drawn from heterogeneous sources. In this paper, we consider maximum lik...
Max-Louis G. Buot, Donald St. P. Richards
ICTAI
2007
IEEE
14 years 1 months ago
Document Length Normalization by Statistical Regression
The document-length normalization problem has been widely studied in the field of Information Retrieval. The Cosine Normalization [2], the Maximum tf Normalization [1] and the By...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
14 years 1 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto
CVPR
2005
IEEE
14 years 9 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin