- Examines clustering as it applies to large and/or high-dimensional data sets commonly encountered in real-world 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
Buy this book
- About this book
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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. Each chapter is contributed by a leading expert in the field.
- About the authors
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Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.
- Reviews
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“The content of the book is really outstanding in terms of the clarity of the discourse and the variety of well-selected examples. … The book brings substantial contributions to the field of partitional clustering from both the theoretical and practical points of view, with the concepts and algorithms presented in a clear and accessible way. It addresses a wide range of readers, including scientists, students, and researchers.” (L. State, Computing Reviews, April, 2015)
- Table of contents (12 chapters)
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Recent Developments in Model-Based Clustering with Applications
Pages 1-39
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Accelerating Lloyd’s Algorithm for k-Means Clustering
Pages 41-78
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Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm
Pages 79-98
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Nonsmooth Optimization Based Algorithms in Cluster Analysis
Pages 99-146
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Fuzzy Clustering Algorithms and Validity Indices for Distributed Data
Pages 147-192
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Table of contents (12 chapters)
- Download Preface 1 PDF (59.2 KB)
- Download Sample pages 1 PDF (1.6 MB)
- Download Table of contents PDF (46 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Partitional Clustering Algorithms
- Editors
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- M. Emre Celebi
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-09259-1
- DOI
- 10.1007/978-3-319-09259-1
- Hardcover ISBN
- 978-3-319-09258-4
- Softcover ISBN
- 978-3-319-34798-1
- Edition Number
- 1
- Number of Pages
- X, 415
- Number of Illustrations
- 33 b/w illustrations, 45 illustrations in colour
- Topics
