Use the Core Clusters for the Initialization of the Clustering Based on One-Class Support Vector Machine
The clustering method based on one-class support vector machine has been presented recently.Although this approach can improve the clustering accuracies, it often gains the unstable clustering results because some random datasets are employed for its initialization.In this paper, a novel initialization method based on the core clusters is used for the clustering algorithm based one-class support vector machine.The core clusters are gained by constructing the neighborhood graph and they are regarded as the initial datasets of the clustering algorithm based one-class support vector machine.To investigate the effectiveness of the proposed approach, several experiments are done on four datasets.Experimental results show that the new presented method can improve the clustering performance compared to the previous clustering algorithm based on one-class support vector machine and k-means approach.
Initialization One-class support vector machine Neighbor graph Core clusters Clustering methods
Lei GU
The Key Laboratory of Embedded System and Service Computing,Ministry of Education, Tongji University, Shanghai, 200092, China;School of Computer Science and Technology,Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
82-88
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）