In the field of cluster analysis, objective function based clustering algorithm is one of widely applied methods. However, this type of algorithms need the priori knowledge about the cluster number and the form of clu...
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ISBN:
(纸本)0780384849
In the field of cluster analysis, objective function based clustering algorithm is one of widely applied methods. However, this type of algorithms need the priori knowledge about the cluster number and the form of clustering prototypes, which can only process data sets with the same type of prototypes. Moreover, these algorithms are very sensitive to the initialization and easy to get trap into local optima. For the purpose, this paper presents a novel clustering method with networkstructure based on clonalalgorithm to realize the automatization of cluster analysis. By analyzing the neurons of the obtained network with minimal spanning tree, one can easily get the cluster number and the related classification information. The test results with various data sets illustrate that the novel algorithm achieves more effective performance on cluster analyzing the data set with mixed numeric values and categorical values.
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