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Efficient Clustering Algorithms for Multivariate Data: A Computational Approach: Integrating Factor Analysis, K-Means, and Validation Measures - Couverture souple

Cevri, Mehmet

 
9789999345880: Efficient Clustering Algorithms for Multivariate Data: A Computational Approach: Integrating Factor Analysis, K-Means, and Validation Measures
Couverture souple
ISBN 10 : 9999345883 ISBN 13 : 9789999345880
Editeur : Eliva Press, 2026

Synopsis

Efficient Clustering Algorithms for Multivariate Data: A Computational Approach As the scale and complexity of multivariate datasets grow across scientific disciplines, the need for robust, scalable, and computationally efficient analysis methods has never been more urgent. This book introduces a novel, hybrid algorithmic framework that bridges the gap between dimensionality reduction and cluster validation to uncover the hidden structures within large datasets. At the core of this methodology is a powerful integration of Factor Analysis and K-Means clustering, optimized through the automated utilization of the Silhouette index. By leveraging the advanced algebraic and computational capabilities of Mathematica, the author provides a step-by-step blueprint for executing high-dimensional data partitioning without sacrificing mathematical precision.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Eliva Press
Date d'édition
2026
Langue
anglais
ISBN 10 
9999345883
ISBN 13 
9789999345880
Reliure
Broché
Nombre de pages
63
Coordonnées du fabricant
non disponible
Personne responsable
non disponible