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BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 9 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
BMCBI
2004
158views more  BMCBI 2004»
15 years 6 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
TFS
2008
230views more  TFS 2008»
15 years 6 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
ICIP
2000
IEEE
16 years 8 months ago
On Data-Filling Algorithms for MRC Layers
A recently adopted standard, the Mixed Raster Content (MRC) imaging model, represents compound images as a superposition of layers. Since layers are superimposed, large regions ma...
Ricardo L. de Queiroz
ISBI
2002
IEEE
16 years 7 months ago
A spatially robust ICA algorithm for multiple fMRI data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model extracts independent components common to all ...
Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, J...