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KDD
2005
ACM
135views Data Mining» more  KDD 2005»
14 years 8 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
ICIP
2008
IEEE
14 years 2 months ago
General region merging approaches based on information theory statistical measures
This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this...
Felipe Calderero, Ferran Marqués
JCB
2008
94views more  JCB 2008»
13 years 7 months ago
Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
Jing Li
LWA
2008
13 years 9 months ago
Labeling Clusters - Tagging Resources
In order to support the navigation in huge document collections efficiently, tagged hierarchical structures can be used. Often, multiple tags are used to describe resources. For u...
Korinna Bade, Andreas Nürnberger
BMCBI
2006
201views more  BMCBI 2006»
13 years 7 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao