Data Science Classification And Related Methods

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Data Science, Classification, and Related Methods

Author	: Chikio Hayashi
Publisher	:
Total Pages	: 800
Release	: 2014-01-15
ISBN-10	: 443165951X
ISBN-13	: 9784431659518
Rating	: 4/5 (518 Downloads)

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Book Synopsis Data Science, Classification, and Related Methods by : Chikio Hayashi

Download or read book Data Science, Classification, and Related Methods written by Chikio Hayashi and published by . This book was released on 2014-01-15 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science, Classification, and Related Methods Related Books

Language: en
Pages: 800

Data Science, Classification, and Related Methods

Authors: Chikio Hayashi

Categories:

Type: BOOK - Published: 2014-01-15 - Publisher:

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Language: en
Pages: 428

Data Analysis, Classification, and Related Methods

Authors: Henk A.L. Kiers

Categories: Mathematics

Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which w

Language: en
Pages: 786

Data Science, Classification, and Related Methods

Authors: Chikio Hayashi

Categories: Mathematics

Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

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This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classificati

Language: en
Pages: 538

Data Science and Machine Learning

Authors: Dirk P. Kroese

Categories: Business & Economics

Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

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Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked

Language: en
Pages: 447

Model-Based Clustering and Classification for Data Science

Authors: Charles Bouveyron

Categories: Mathematics

Type: BOOK - Published: 2019-07-25 - Publisher: Cambridge University Press

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Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Whi