Data Science Innovative Developments in Data Analysis and Clustering /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Palumbo, Francesco (Editor), Montanari, Angela (Editor), Vichi, Maurizio (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Studies in Classification, Data Analysis, and Knowledge Organization,
• Subjects: Statistics.; Data mining.; Statistical Theory and Methods.; Data Mining and Knowledge Discovery.; Statistics and Computing/Statistics Programs.; Big Data.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics for Business/Economics/Mathematical Finance/Insurance.
• Physical Description: XVI, 342 p. 50 illus., 39 illus. in color. online resource.
• ISBN: 9783319557236
• ISSN: 1431-8814

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.