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An integrated fuzzy cells-classifier
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DOI：10.1016/j.imavis.2006.01.031.png)
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This paper introduces a genetic algorithm able to combine different classifiers based on different distance functions. The use of a genetic algorithm is motivated by the fact that the combination phase is based on the optimization of a vote strategy. The method has been applied to the classification of four types of biological cells, results show an improvement of the recognition rate using the genetic algorithm combination strategy compared with the recognition rate of each single classifier. (c) 2006 Elsevier B.V. All rights reserved.
Keyword:
clustering
classification
classifier fusion
fuzzy sets
genetic algorithms
multiple classifiers
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