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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:73/0  |  提交时间:2019/12/12
Cluster analysis  Density-based clustering  Acceleration mechanism  Approximate algorithm  k-means  
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 11, 页码: 2871-2883
作者:  Bai, Liang;  Cheng, Xueqi;  Liang, Jiye;  Shen, Huawei
收藏  |  浏览/下载:54/0  |  提交时间:2019/12/13
Cluster analysis  optimization model  iterative algorithm  categorical data stream  drifting-concept detection  
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:38/0  |  提交时间:2019/12/16
Neighborhood model  Initial cluster centers  Cohesion degree  Coupling degree  K-Means clustering algorithm