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EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 9 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
BMCBI
2004
181views more  BMCBI 2004»
13 years 9 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
IMCSIT
2010
13 years 7 months ago
Multiscale Segmentation Based On Mode-Shift Clustering
We present a novel segmentation technique that effectively segments natural images. The method is designed for the purpose of image retrieval and follows the principle of clusterin...
Wojciech Tarnawski, Lukasz Miroslaw, Roman Pawliko...
ICASSP
2011
IEEE
13 years 1 months ago
Multi-stream spectro-temporal and cepstral features based on data-driven hierarchical phoneme clusters
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account d...
Shang-wen Li, Liang-Che Sun, Lin-Shan Lee