22 search results - page 1 / 5 » Performance Assessment of Some Clustering Algorithms Based o... |
CIT
2007
Springer
13 years 10 months ago
2007
Springer
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 ...
HIS
2004
13 years 6 months ago
2004
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
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 ...
ACIVS
2006
Springer
13 years 10 months ago
2006
Springer
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...
BMCBI
2008
13 years 4 months ago
2008
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...