Partitional Clustering Algorithms
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.
| ISBN: | 9783319347981 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 415 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Celebi, M. Emre |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 22.09.2016 |
| Schlagworte: | Center Based Clustering Flat Clustering Fuzzy c-means Nonhierarchical Clustering Objective Function Based Clustering Partitional Clustering Unsupervised Classification Unsupervised Learning k-means |
Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.