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.

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...

Table of Contents:

• 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.