A simple water cycle algorithm with percolation operator for clustering analysis-Reference-Cited by-同舟云学术

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A simple water cycle algorithm with percolation operator for clustering analysis

Published:2018-02-12 Issue:12 Volume:23 Page:4081-4095
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Qiao Shilei,Zhou Yongquan,Zhou Yuxiang,Wang Rui

Funder

National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-018-3057-5/fulltext.html

Reference24 articles.

1. Abdel-Kader RF (2010) Genetically improved PSO algorithm for efficient data clustering. In: 2010 second international conference on machine learning and computing (ICMLC), pp 71–75. IEEE

2. Ahmadyfard A, Modares H (2008) Combining PSO and k-means to enhance data clustering. In: International symposium on telecommunications, IST 2008, pp 688–691. IEEE

3. Assent I, Krieger R, Glavic B, Seidl T (2008) Clustering multidimensional sequences in spatial and temporal databases. Knowl Inf Syst 16(1):29–51

4. Das S, Suganthan PN (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evolut Comput 15(1):4–31

5. Datta S, Giannella CR, Kargupta H (2009) Approximate distributed k-means clustering over a peer-to-peer network. IEEE Trans Knowl Data Eng 21(10):1372–1388

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