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《Journal of Data Acquisition and Processing》 2011-01
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Mahalanobis Distance-Based Possibilistic Clustering Algorithm and Its Analysis

Zhang Xiang,Wang Shitong(School of Information Technology,Jiangnan University,Wuxi,214122,China)  
The possibilistic clustering algorithm is used in data analysis and pattern recognition.By Mahalanobis distance with the algorithm,a special Mahalanobis distance-based possibilistic clustering algorithm is proposed.This algorithm has the advantage of possibilistic clustering.Meanwhile,it can prevent leading to a single cluster center and has a distinctive characteristic,thus immediately deducing the lower bounds of the obtained clustering results.Based on the principle of the minmax probability,it can decide whether the clustering is effective or not.Finally,experiments on image segmentation and UCI data show that the algorithm is effective.
【Fund】: 国家高技术研究发展计划(“八六三”计划)(2007AA1Z158 2006AA10Z313)资助项目;; 国家自然科学基金(60704047)资助项目 国家自然科学基金重大研究计划(9082002)资助项目
【CateGory Index】: TP391.41
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