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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.