Data Clustering Using by Chaotic SSPCO Algorithm - Couverture souple

Omidvar, Rohollah

 
9786202027656: Data Clustering Using by Chaotic SSPCO Algorithm

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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Présentation de l'éditeur

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.

Biographie de l'auteur

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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