A Novel Research on Rough Clustering Algorithm
Joint Authors
Qu, Tao
Xu, E
Lu, Jinyu
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The aim of this study is focusing the issue of traditional clustering algorithm subjects to data space distribution influence, a novel clustering algortihm combined with rough set theory is employed to the normal clustering.
The proposed rough clustering algorithm takes the condition attributes and decision attributes displayed in the information table as the consistency principle, meanwhile it takes the data supercubic and information entropy to realize data attribute shortcutting and discretizing.
Based on above discussion, by applying assemble feature vector addition principle computiation only one scanning information table can realize clustering for the data subject.
Experiments reveal that the proposed algorithm is efficient and feasible.
American Psychological Association (APA)
Qu, Tao& Lu, Jinyu& Karimi, Hamid Reza& Xu, E. 2014. A Novel Research on Rough Clustering Algorithm. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033605
Modern Language Association (MLA)
Qu, Tao…[et al.]. A Novel Research on Rough Clustering Algorithm. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1033605
American Medical Association (AMA)
Qu, Tao& Lu, Jinyu& Karimi, Hamid Reza& Xu, E. A Novel Research on Rough Clustering Algorithm. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033605
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033605