Data Science and Classification

by Vladimir Batagelj (Editor), Hans-Hermann Bock (Editor), Anuska Ferligoj (Editor)

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.

370 pages, Paperback

First published January 1, 2006