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Beschreibung
This book discusses about analysis and design of an efficient clustering algorithm titled ¿¿Shared Nearest Neighbor Algorithm with Enclosures (SNNAE)¿. The main focus of the book is on the issues related to the analysis of various clustering algorithms like K-means, DBSCAN and SNN, and to identify their limitations. The proposed SNNAE algorithm is designed to solve these problems. It is based on density, and k-nearest neighbor approach. It has been proved as a scalable approach for clustering.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 05. November 2018 |
| Maße | 22 cm x 15 cm x 0.9 cm |
| Gewicht | 215 Gramm |
| Format | Softcover |
| ISBN-13 | 9786139945528 |
| Seiten | 132 |
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