Titlebook: Evolutionary Data Clustering: Algorithms and Applications; Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili Book 2021 The Editor(s) (if app

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978-981-33-4193-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Evolutionary Data Clustering: Algorithms and Applications978-981-33-4191-3Series ISSN 2524-7565 Series E-ISSN 2524-7573

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Introduction to Evolutionary Data Clustering and Its Applications,, clustering has a crucial role in numerous types of applications. Essentially, the applications include social sciences, biological and medical applications, information retrieval and web search algorithms, pattern recognition, image processing, machine learning, and data mining. Even that clusteri

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A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering,rdingly, data clustering has an increasing interest in various applications involving health, humanities, and industry. Assessing the goodness of clustering has been widely debated across the history of clustering analysis, which led to the emergence of abundant clustering evaluation measures. The a

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A Grey Wolf-Based Clustering Algorithm for Medical Diagnosis Problems,ation algorithms is the Grey Wolf Optimizer (GWO). In this chapter, we use GWO on seven medical data sets to optimize the initial clustering centroids represented by the individuals of each population at each iteration. The aim is to minimize the distances between instances of the same cluster to pr

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