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Wednesday, May 6, 2020 | History

7 edition of New Developments in Classification and Data Analysis found in the catalog.

New Developments in Classification and Data Analysis

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian ... Data Analysis, and Knowledge Organization)

  • 278 Want to read
  • 15 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Bibliographic & subject control,
  • Computers,
  • Biostatistics,
  • Business / Economics / Finance,
  • Computer Books: Database,
  • Database Management - General,
  • Statistics,
  • Business & Economics / Statistics,
  • Congresses,
  • Mathematical statistics,
  • Multivariate analysis

  • Edition Notes

    ContributionsMaurizio Vichi (Editor), Paola Monari (Editor), Stefania Mignani (Editor), Angela Montanari (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages369
    ID Numbers
    Open LibraryOL9055119M
    ISBN 103540238093
    ISBN 109783540238096

    Classification, (Big) Data Analysis and Statistical Learning by Francesco Zamora Mola, , available at Book Depository with free delivery worldwide. Robust Multivariate Analysis, Computational Geometry, and Applications. Author: Regina Y. Liu,Robert Joseph Serfling,Diane L. Souvaine; Publisher: American Mathematical Soc. ISBN: Category: Mathematics Page: View: DOWNLOAD NOW» The book .

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New Developments in Classification and Data Analysis Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna.

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Meaning and Objectives of Classification of Data. The method of arranging data into homogeneous classes according to some common features present in the data is called classification.

A planned .New Developments in Multidimensional Data Analysis 5 such data consist of items related to factors that are thought to be useful based on various analyses of past data in predic tion of a criminal's prognosis Cited by: 2.

The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field.

It contains articles about Brand: Springer Berlin Heidelberg.