Applied Cluster Analysis-Part I: Number of Clusters, Cluster Types, and Quality Evaluation
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Applied Cluster Analysis-Part I: Number of Clusters, Cluster Types, and Quality Evaluation

by Dr Anpalaki J Ragavan

statistics Machine Learning Data Science
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Applied Cluster Analysis-Part I presents a focused introduction to three essential aspects of clustering: selecting the number of clusters, recognizing cluster types, and evaluating the quality of results. It offers readers a structured foundation for understanding applied cluster analysis and its central methodological questions.

About This Book

Applied Cluster Analysis-Part I introduces the subject of cluster analysis from an applied perspective.

The book focuses on three central topics: determining the number of clusters, identifying cluster types, and evaluating the quality of clustering results.

It is intended for readers seeking a structured overview of these foundational considerations in cluster analysis.

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I will be using this book for: