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OverviewFull Product DetailsAuthor: Israël César LermanPublisher: Springer London Ltd Imprint: Springer London Ltd Edition: Softcover reprint of the original 1st ed. 2016 Dimensions: Width: 15.50cm , Height: 3.40cm , Length: 23.50cm Weight: 1.015kg ISBN: 9781447173922ISBN 10: 1447173929 Pages: 647 Publication Date: 14 April 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPreface.- On Some Facets of the Partition Set of a Finite Set.- Two Methods of Non-hierarchical Clustering.- Structure and Mathematical Representation of Data.- Ordinal and Metrical Analysis of the Resemblance Notion.- Comparing Attributes by a Probabilistic and Statistical Association I.- Comparing Attributes by a Probabilistic and Statistical Association II.- Comparing Objects or Categories Described by Attributes.- The Notion of “Natural” Class, Tools for its Interpretation. The Classifiability Concept.- Quality Measures in Clustering.- Building a Classification Tree.- Applying the LLA Method to Real Data.- Conclusion and Thoughts for Future WorksReviewsThis book provides a synthetic and systematic presentation of clustering, combinatorial, and statistical data analysis. ... the presentation is interesting and original. Keeping a smart balance between theoretical concepts and practical issues, the book is addressed to students and researchers interested in data mining, data analysis, and clustering. (Florin Gorunescu, zbMATH 1338.62012, 2016) This book provides a synthetic and systematic presentation of clustering, combinatorial, and statistical data analysis. the presentation is interesting and original. Keeping a smart balance between theoretical concepts and practical issues, the book is addressed to students and researchers interested in data mining, data analysis, and clustering. (Florin Gorunescu, zbMATH 1338.62012, 2016) This book provides a synthetic and systematic presentation of clustering, combinatorial, and statistical data analysis. the presentation is interesting and original. Keeping a smart balance between theoretical concepts and practical issues, the book is addressed to students and researchers interested in data mining, data analysis, and clustering. (Florin Gorunescu, zbMATH 1338.62012, 2016) Author InformationTab Content 6Author Website:Countries AvailableAll regions |