9781334434174 - asymptotic properties of k-means clustering algorithm as a density estimation procedure (classic reprint) di wong, m. anthony (3 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 24,61
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 24,38
EUR 3,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Altre immagini- Brossura
- Print on Demand
Da: Forgotten Books, London, Regno UnitoForgotten Books
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Paperback. Condizione: New. Print on Demand. This book explores the k-means clustering algorithm, a significant technique in data analysis for grouping similar observations into clusters. Historically used for cluster analysis, the author shows how k-means can also be used to generate variable cell histograms, a powerful tool fo…r estimating probability density functions. The author presents the mathematical foundations of k-means, establishing its asymptotic properties as a density estimation method under specific conditions. Two histogram estimates based on k-means clustering are proposed, and their uniform consistency in probability is proven. Empirical examples illustrate the performance of the proposed estimates. Providing a solid theoretical framework and practical insights, this book deepens our understanding of k-means as a valuable technique for density estimation, expanding its applications in statistical modeling and data analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
