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Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.
High dimensionality, noisy features and outliers can cause problems in cluster analysis. Many existing methods can handle one of the problems well but not the others. In this paper, we propose a new clustering algorithm to solve these problems. The basic idea is to control the support of the optimization procedure so that the effect produced by those contaminated samples and dimensions is greatly...
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