Classification and data analysis - Info and Reading Options
theory and application : proceedings of the biannual meeting of the Classification Group of Societa Italia di Statistica (SIS), Pescara, July 3-4, 1997
By Classification Group of SIS. Meeting, Italy) Classification Group of Sis Meeting (1997 Pescara and Otto Opitz
"Classification and data analysis" was published by Springer in 1999 - New York, it has 378 pages and the language of the book is English.
“Classification and data analysis” Metadata:
- Title: ➤ Classification and data analysis
- Authors: ➤ Classification Group of SIS. MeetingItaly) Classification Group of Sis Meeting (1997 PescaraOtto Opitz
- Language: English
- Number of Pages: 378
- Publisher: Springer
- Publish Date: 1999
- Publish Location: New York
“Classification and data analysis” Subjects and Themes:
- Subjects: ➤ Congresses - Information storage and retrieval systems - Statistics - Classification - Economics - Data structures (Computer science) - Data capture & analysis - Probability & statistics - Mathematical Statistics - Mathematics - Science/Mathematics - Probability & Statistics - General - Economics - General - Information storage and retrie - Data transmission systems - Economics/Management Science - Statistics for Business/Economics/Mathematical Finance/Insurance - Cryptology and Information Theory Data Structures
Edition Specifications:
- Pagination: x, 378 p. :
Edition Identifiers:
- The Open Library ID: OL32762M - OL14851037W
- Online Computer Library Center (OCLC) ID: 504536678
- Library of Congress Control Number (LCCN): 99014729
- ISBN-10: 3540656332
- All ISBNs: 3540656332
AI-generated Review of “Classification and data analysis”:
"Classification and data analysis" Description:
The Open Library:
The book provides new developments in classification, data analysis and multidimensional methods, topics which are of central interest to modern Statistics. A wide range of topics is considered including methodologies in classification, fuzzy clustering, discrimination, regression tree, neural networks, proximity methodologies, factorial methods, spatial analysis, multiway and multivariate analysis.
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