Clustering validity based on the improved S_Dbw* index |
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Authors: | Jianhua Tong Hongzhou Tan |
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Affiliation: | Department of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou 510275, China |
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Abstract: | For many clustering algorithms, it is very important to determine an appropriate number of clusters, which is called cluster validity problem. In this paper, a new clustering validity assessment index is proposed based on a novel method to select the margin point between two clusters for inter-cluster similarity more accurately, and provides an improved scatter function for intra-cluster similarity. Simulation results show the effectiveness of the proposed index on the data sets under consideration regardless of the choice of a clustering algorithm. |
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Keywords: | Clustering validity Inter-cluster similarity Intra-cluster similarity |
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