Partitional Clustering Algorithms - Tapa dura

 
9783319092584: Partitional Clustering Algorithms
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ISBN 10: 3319092588 ISBN 13: 9783319092584
Editorial: Springer, 2014

Sinopsis

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering.

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Acerca del autor

Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.

De la contraportada

This book summarizes the state-of-the-art in partitional clustering. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific disciplines including anthropology, biology, medicine, psychology, statistics, mathematics, engineering, and computer science. As a result, numerous clustering algorithms have been proposed since the early 1950s. Among these algorithms, partitional (nonhierarchical) ones have found many applications, especially in engineering and computer science. This book provides coverage of consensus clustering, constrained clustering, large scale and/or high dimensional clustering, cluster validity, cluster visualization, and applications of clustering.

  • Examines clustering as it applies to large and/or high-dimensional data sets commonly encountered in realistic applications;
  • Discusses algorithms specifically designed for partitional clustering;
  • Covers center-based, competitive learning, density-based, fuzzy, graph-based, grid-based, metaheuristic, and model-based approaches.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3319092588
ISBN 13 
9783319092584
Encuadernación
Tapa dura
Número de páginas
428
Editor
Celebi M. Emre
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

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9783319347981: Partitional Clustering Algorithms

Edición Destacada

ISBN 10:  3319347985 ISBN 13:  9783319347981
Editorial: Springer, 2016
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