Clustering and Information Retrieval (Network Theory and Applications)

This volume contains recent developments in clustering and information retrieval, including clustering algorithms, evaluation methodologies, and architectures for information retrieval. It provides a survey of the state-of-the-art research in clustering and information retrieval. Audience: This volume is suitable for professionals and researchers in data mining and information retrieval. It is also appropriate for use in graduate courses.