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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A concise resource on determining cluster numbers, types, and quality evaluation in applied cluster analysis for data-driven decision making.

About This Book

This book examines key aspects of cluster analysis with an emphasis on practical application.

It covers methods for determining the appropriate number of clusters in a dataset.

Readers will learn about different cluster types and approaches to evaluating clustering quality.

The content is designed to support data analysis tasks across various fields.

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I will be using this book for: