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A Novel Clustering Algorithm Inspired by Membrane Computing
Joint Authors
Pei, Zheng
Gao, Zhisheng
Peng, Hong
Luo, Xiaohui
Wang, Jun
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
P systems are a class of distributed parallel computing models; this paper presents a novel clustering algorithm, which is inspired from mechanism of a tissue-like P system with a loop structure of cells, called membrane clustering algorithm.
The objects of the cells express the candidate centers of clusters and are evolved by the evolution rules.
Based on the loop membrane structure, the communication rules realize a local neighborhood topology, which helps the coevolution of the objects and improves the diversity of objects in the system.
The tissue-like P system can effectively search for the optimal partitioning with the help of its parallel computing advantage.
The proposed clustering algorithm is evaluated on four artificial data sets and six real-life data sets.
Experimental results show that the proposed clustering algorithm is superior or competitive to k-means algorithm and several evolutionary clustering algorithms recently reported in the literature.
American Psychological Association (APA)
Peng, Hong& Luo, Xiaohui& Gao, Zhisheng& Wang, Jun& Pei, Zheng. 2015. A Novel Clustering Algorithm Inspired by Membrane Computing. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1079294
Modern Language Association (MLA)
Peng, Hong…[et al.]. A Novel Clustering Algorithm Inspired by Membrane Computing. The Scientific World Journal No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1079294
American Medical Association (AMA)
Peng, Hong& Luo, Xiaohui& Gao, Zhisheng& Wang, Jun& Pei, Zheng. A Novel Clustering Algorithm Inspired by Membrane Computing. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1079294
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079294