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.
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.
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Data Science: Innovative Developments in Data Analysis and Clustering
342![Data Science: Innovative Developments in Data Analysis and Clustering](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Data Science: Innovative Developments in Data Analysis and Clustering
342eBook(1st ed. 2017)
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Product Details
ISBN-13: | 9783319557236 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 07/04/2017 |
Series: | Studies in Classification, Data Analysis, and Knowledge Organization |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 342 |
File size: | 5 MB |