Data Clustering Using by Chaotic SSPCO Algorithm
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2017, 2017
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 30.96
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -Data clustering is a popular analysis tool for data statistics in several fields including pattern recognition, data mining, machine learning, image analysis and bioinformatics, in which the information to be analyzed can be of any distribution in size and shape. Clustering is effective as a technique for discerning the structure and unraveling the complex relationship between massive amounts of data. See-See partridge chick's optimization (SSPCO) algorithm is a new optimization algorithm that is inspired by the behavior of a type of bird called see-see partridge. In this book we propose chaotic map SSPCO optimization method for clustering, which uses a chaotic map to adopt a random sequence with a random starting point as a parameter; the method relies on this parameter to update the positions and velocities of the chicks. 56 pp. Englisch.
Seller Inventory # 9786202027656
- Title
- Data Clustering Using by Chaotic SSPCO Algorithm
- Author
- Rohollah Omidvar
- Publisher
- LAP LAMBERT Academic Publishing Sep 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6202027657
- ISBN 13
- 9786202027656
- Item weight
- 102 grams
- Dimensions
- 220x150x4 mm
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About the Author
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
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