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Data science = innovative developmen...
~
Palumbo, Francesco.
Data science = innovative developments in data analysis and clustering /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data science/ edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.
其他題名:
innovative developments in data analysis and clustering /
其他作者:
Palumbo, Francesco.
出版者:
Cham :Springer International Publishing : : 2017.,
面頁冊數:
xvi, 342 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Mathematical statistics -
電子資源:
http://dx.doi.org/10.1007/978-3-319-55723-6
ISBN:
9783319557236
Data science = innovative developments in data analysis and clustering /
Data science
innovative developments in data analysis and clustering /[electronic resource] :edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi. - Cham :Springer International Publishing :2017. - xvi, 342 p. :ill., digital ;24 cm. - Studies in classification, data analysis, and knowledge organization,1431-8814. - Studies in classification, data analysis, and knowledge organization..
Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.
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.
ISBN: 9783319557236
Standard No.: 10.1007/978-3-319-55723-6doiSubjects--Topical Terms:
682993
Mathematical statistics
LC Class. No.: QA276.A1
Dewey Class. No.: 519.5
Data science = innovative developments in data analysis and clustering /
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