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.
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