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Using the immune recognizing principle, the data object to cluster was denoted as the antigens set, and the clustering center was the antibodies set. The clustering was the process to obtain the best antibodies to catch the antigens by producing the antibodies and recognizing the antigens unceasingly. The distance concentration and the affinity, between antibody and antigen, and between antibody and...
According the clustering principles in data analysis, a clustering algorithm based on artificial immune system is proposed in this paper. This algorithm based on the immune mechanism of the capture of antigen by the antibody. The datum that need to be clustered are viewed as antigens, and the cluster centers are viewed as the antibodies in the immune system. The clustering is effectively the process...
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