Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.

Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and...

This book constitutes a coherent anthology consisting of invited chapter-length papers on intelligent hypertext techniques with special emphasis on how to apply these techniques to the World Wide Web.The book provides an introductory preface by the volume editors and chapters on information comprehension through hypertext, efficient techniques for adaptive hypermedia, annotaded 3D environments on the Web, user models for customized hypertext, conceptual analysis of hypertext, two-level models of hypertext, the TELLTALE dynamic hypertext environment, hypertext for collaborative authoring,...