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Improved Bidirectional CABOSFV Based on Multi-Adjustment Clustering and Simulated Annealing Cover

Improved Bidirectional CABOSFV Based on Multi-Adjustment Clustering and Simulated Annealing

Cybernetics and Information Technologies
Volume 16 (2016): Issue 6 (December 2016)
By: Minghan Yang,  Xuedong Gao and  Ling Li  
Open Access
|Jan 2017
Articles in this issue
DOI: https://doi.org/10.1515/cait-2016-0075 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 27 - 42
Published on: Jan 25, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Data mining,
high dimensional sparse data,
simulated annealing,
clustering validity
Related subjects:
Computer sciences,
Information technology

© 2017 Minghan Yang, Xuedong Gao, Ling Li, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 16 (2016): Issue 6 (December 2016)
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