Partitional Clustering Algorithms
| Autor: | M. Emre Celebi |
|---|---|
| EAN: | 9783319092591 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 07.11.2014 |
| Kategorie: | |
| Schlagworte: | Center Based Clustering Flat Clustering Fuzzy c-means Nonhierarchical Clustering Objective Function Based Clustering Partitional Clustering Unsupervised Classification Unsupervised Learning k-means |
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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.
Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.
Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.
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