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A semi-supervised approximate spectral clustering algorithm based on HMRF model 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 429, 页码: 215-228
作者:  Ding, Shifei;  Jia, Hongjie;  Du, Mingjing;  Xue, Yu
收藏  |  浏览/下载：48/0  |  提交时间：2019/12/10
Semi-supervised learning  Spectral clustering  HMRF model  Approximate weighted kernel k-means  Matrix trace  
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：47/0  |  提交时间：2019/12/10
Kernel K-means  Shuffled frog leaping algorithm  Clustering validity index  Clustering analysis  
Fast density clustering strategies based on the k-means algorithm 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 页码: 375-386
作者:  Bai, Liang;  Cheng, Xueqi;  Liang, Jiye;  Shen, Huawei;  Guo, Yike
收藏  |  浏览/下载：80/0  |  提交时间：2019/12/12
Cluster analysis  Density-based clustering  Acceleration mechanism  Approximate algorithm  k-means  
Multi layer ELM-RBF for multi-label learning 期刊论文
APPLIED SOFT COMPUTING, 2016, 卷号: 43, 页码: 535-545
作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian
收藏  |  浏览/下载：45/0  |  提交时间：2019/12/13
Multi-label learning  Extreme learning machine  Radial basis function  k-Means clustering  Extreme learning machine based auto encoder (ELM-AE)  
Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2009, 卷号: 21, 期号: 9, 页码: 1249-1262
作者:  Luo, Ping;  Xiong, Hui;  Zhan, Guoxing;  Wu, Junjie;  Shi, Zhongzhi
收藏  |  浏览/下载：44/0  |  提交时间：2019/12/16
Clustering validation  entropy  information-theoretic distance measures  K-means clustering  
An initialization method for the K-Means algorithm using neighborhood model 期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2009, 卷号: 58, 期号: 3, 页码: 474-483
作者:  Cao, Fuyuan;  Liang, Jiye;  Jiang, Guang
收藏  |  浏览/下载：44/0  |  提交时间：2019/12/16
Neighborhood model  Initial cluster centers  Cohesion degree  Coupling degree  K-Means clustering algorithm