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论文题目: |
Determining the Clustering Centers by Slope Difference Distribution |
第一作者: |
Wang ZZ(王振洲) |
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发表刊物: |
IEEE Access |
发表年度: |
2017 |
卷,期,页: |
5,,10995-11002 |
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论文摘要: |
Clustering is fundamental in image processing, machine learning, pattern recognition and data analysis. For robust clustering, the prerequisite condition is determining the clustering centers robustly. In this paper, we propose to determine the clustering centers from the slope difference distribution of the data. The proposed method comprises two parts: (1) Computation of the slope difference distribution from the original data distribution; (2) Selection of the peaks of the slope distribution as the clustering centers. We tested the proposed method with two different types of synthesized data sets: (1), Data with Gaussian noise; (2), Data with Salt and Pepper noise. Experimental results show that the proposed method is significantly more accurate than the state of the art methods: K-means method, Expectation Maximization (EM) method and Fuzzy C-means method. The significance of determining the clustering centers robustly is also verified by a demonstration. |
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