This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains f

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the

Spectral methods refer to the use of eigenvalues, eigenvectors, singular values and singular vectors. They are widely used in Engineering, Applied Mathematics a

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software te

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it i