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A novel density peaks clustering with sensitivity of local density and density-adaptive metric 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 59, 期号: 2, 页码: 285-309
作者:  Du, Mingjing;  Ding, Shifei;  Xue, Yu;  Shi, Zhongzhi
收藏  |  浏览/下载:79/0  |  提交时间:2019/08/16
Clustering analysis  Density peaks clustering  Sensitivity of local density  Density-adaptive distance  
Density peaks clustering using geodesic distances 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 8, 页码: 1335-1349
作者:  Du, Mingjing;  Ding, Shifei;  Xu, Xiao;  Xue, Yu
收藏  |  浏览/下载:56/0  |  提交时间:2019/12/10
Data clustering  Density peaks clustering  Geodesic distances  
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 3, 页码: 861-872
作者:  Fan, Shuyan;  Ding, Shifei;  Xue, Yu
收藏  |  浏览/下载:41/0  |  提交时间:2019/12/10
Kernel K-means  Shuffled frog leaping algorithm  Clustering validity index  Clustering analysis  
Approximate normalized cuts without Eigen-decomposition 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 374, 页码: 135-150
作者:  Jia, Hongjie;  Ding, Shifei;  Du, Mingjing;  Xue, Yu
收藏  |  浏览/下载:42/0  |  提交时间:2019/12/13
Normalized cut  Matrix trace  Weighted kernel k-means  Approximate kernel matrix