Data Clustering Using by Chaotic SSPCO Algorithm

von Rohollah Omidvar

56 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Informatik und Informationstechnologie Allgemeine Themen
• ISBN: 9786202027656
• Sprache: Englisch
• Erscheinungsdatum: 15.09.2017
• Größe: 220 x 150 mm
• Verlag: LAP LAMBERT Academic Publishing