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CIT
2007
Springer
11 years 11 months ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
HIS
2004
11 years 6 months ago
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...
ICASSP
2011
IEEE
10 years 9 months ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...
ACIVS
2006
Springer
11 years 11 months ago
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
Miin-Shen Yang, Wen-Liang Hung, Tsiung-Iou Chung
BMCBI
2008
132views more  BMCBI 2008»
11 years 5 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
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