Synopsis
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.
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About the Author
Rohollah Omidvar was born in Iran, in 1978. He is a university lecturer in Iran on computer engineering. His research interests include optimization algorithm, clustering and wireless sensor networks. Mr. Omidvar is a member of the Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University.
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Data Clustering Using by Chaotic SSPCO Algorithm
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Taschenbuch. Condition: Neu. 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
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Omidvar RohollahRohollah Omidvar was born in Iran, in 1978. He is a university lecturer in Iran on computer engineering. His research interests include optimization algorithm, clustering and wireless sensor networks. Mr. Omidvar is a. Seller Inventory # 174823062
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Data Clustering Using by Chaotic SSPCO Algorithm
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786202027656
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Data Clustering Using by Chaotic SSPCO Algorithm
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202027656
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Data Clustering Using by Chaotic SSPCO Algorithm
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Taschenbuch. Condition: Neu. Data Clustering Using by Chaotic SSPCO Algorithm | Rohollah Omidvar | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202027656 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113378620
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Data Clustering Using by Chaotic SSPCO Algorithm
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