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Author: Gérard Govaert
Publisher: John Wiley & Sons
ISBN: 111861786X
Category : Mathematics
Languages : en
Pages : 265
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Book Description
The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.
Author: Gérard Govaert
Publisher: John Wiley & Sons
ISBN: 111861786X
Category : Mathematics
Languages : en
Pages : 265
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Book Description
The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.
Author: Israël César Lerman
Publisher: Springer
ISBN: 1447167937
Category : Computers
Languages : en
Pages : 664
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Book Description
This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.
Author: Jean René Barra
Publisher: Amsterdam ; New York : North-Holland Publishing Company : distributors for the U.S.A. and Canada, Elsevier/North-Holland
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 826
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Book Description
Asymptotic expansions; The analysis of survival data in medical investigations; Computers and statistics; Data analysis and applications to human, social and nature science; Sampling in genetics; Statistical problems in control theory; Approach to statistics by children; Stochastic approximation; Statistical inference and stochastic processes in demography; Mathematical statistics and statistical inference; Applied statistics; Data analysis and connected topics.
Author:
Publisher: Editions Bréal
ISBN: 274952265X
Category :
Languages : en
Pages : 226
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Book Description
Author: Jan de Leeuw (data-analyse)
Publisher:
ISBN:
Category : Factor analysis
Languages : en
Pages : 282
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Book Description
Author: E. Diday
Publisher: North Holland
ISBN: 9780444704450
Category : Computers
Languages : en
Pages : 538
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Book Description
New theoretical developments and numerous industrial applications of Data Analysis and Informatics are presented in this volume. The theoretical results include advances in multiway tables, heterogeneous tables, textual data, validation, stability of methods, robustness and quality of developments. On the strategic level, different styles of data analysis are also shown. Several papers deal with the facilities now available due to the progress made in graphics and artificial intelligence. The industrial applications include scintigraphic image series processing and image improving, VLSI, assistance in survey processing by expert systems, the implementation of production systems, and electrical network planning.
Author: Jacques Janssen
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 298
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Book Description
Author: Frank Nielsen
Publisher: Springer
ISBN: 3642400205
Category : Computers
Languages : en
Pages : 863
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Geometric Science of Information, GSI 2013, held in Paris, France, in August 2013. The nearly 100 papers presented were carefully reviewed and selected from numerous submissions and are organized into the following thematic sessions: Geometric Statistics on Manifolds and Lie Groups, Deformations in Shape Spaces, Differential Geometry in Signal Processing, Relational Metric, Discrete Metric Spaces, Computational Information Geometry, Hessian Information Geometry I and II, Computational Aspects of Information Geometry in Statistics, Optimization on Matrix Manifolds, Optimal Transport Theory, Probability on Manifolds, Divergence Geometry and Ancillarity, Entropic Geometry, Tensor-Valued Mathematical Morphology, Machine/Manifold/Topology Learning, Geometry of Audio Processing, Geometry of Inverse Problems, Algebraic/Infinite dimensional/Banach Information Manifolds, Information Geometry Manifolds, and Algorithms on Manifolds.
Author: Régis Gras
Publisher: Springer
ISBN: 3540789839
Category : Technology & Engineering
Languages : en
Pages : 511
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Book Description
Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Author: Le Thi Hoai An
Publisher: Springer Science & Business Media
ISBN: 3540874771
Category : Computers
Languages : en
Pages : 632
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Book Description
Constitutes the refereed proceedings of the Second International Conference MCO 2008, Metz, France, September 2008. This title organizes the papers in topical sections on optimization and decision making; data mining theory, systems and applications; computer vision and image processing; and computer communications and networks.
