کتاب دانلود کتب لاتین علوم مهندسیرایانه، اینترنت و فناوری اطلاعات
خوشه بندی داده های تکاملی - الگوریتم ها و برنامه ها
خوشه بندی داده های تکاملی - الگوریتم ها و برنامه ها

Evolutionary Data Clustering - Algorithms and Applications
سال انتشار: 2021
تعداد صفحات: 253
زبان فایل: انگلیسی
فرمت فایل: pdf
حجم فایل: 7MB
قیمت: 100,000ريال

افزودن به سبد دانلود

Publisher : Springer

ISBN-10 : 9813341904

ISBN-13 : 978-9813341906

ASIN : B08X46Q32B

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.