a clonal selection clustering algorithm using pointed symmetry-based distance measure
A clonal selection clustering algorithm using point symmetry-based distance measure (CSCAPS) is proposed in this paper, a point symmetry-based similarity measure is used to evaluate the similarity between two samples in order to cluster data sets with the character of symmetry. Both Kd-trees based nearest neighbor search and k-nearest-neighbor consistency strategy are used to reduce the computation complexity and improve the clustering accuracy. The proposed method has been extensively compared with four well-known clustering algorithms over a test suit of real life data sets and synthetic data sets. The results of experiments indicate the superiority of the CSCAPS on accuracy.
clustering clone selection point symmetry distance immune vaccine