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Discriminant Analysis
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William R Klecka
The procedures, collectively known as discriminant analysis, allow a researcher to study the difference between two or more groups of objects with respect to several variables simultaneously, determining whether meaningful differences exist between the groups and identifying the discriminating power of each variable.
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Configural Frequency Anaylsis PR
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Alexander Von Eye, Alexander Von Eye
This text provides an up-to-the-minute comprehensive introduction to the methods, models and applications of configural frequency analysis. The book presents a formal yet accessible description of all methods and models, and uses actual empirical data examples to illustrate the key concepts.
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Classification and Regression Trees
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Leo Breiman
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Discriminants, Resultants, and Multidimensional Determinants
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by
I M Gelfand
'This book revives and vastly expands the classical theory of resultants and discriminants. Most of the main new results of the book have been published earlier in more than a dozen joint papers of the authors. The book nicely complements these original papers with many examples illustrating both old and new results of the theory' - "Mathematical ...
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Introduction to Configural Frequency Analysis: The Search for Types and Antitypes in Cross-Classification
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by
Alexander Von Eye, Daniel Stokols (Editor), Irwin Altman (Editor)
Configural Frequency Analysis (CFA) is a method for analysis of groups of individuals in cross-classifications. Individuals belong to a type if their particular pattern of characteristics occurs more often than expected, and to an antityte if their particular pattern of characteristics occurs less often than expected. The author's original ...
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Survey of Text Mining: Clustering, Classification, and Retrieval
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Michael W Berry (Editor)
Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media ...
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Configural Frequency Anaylsis CL
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by
Alexander Von Eye, Alexander Von Eye
This text provides an up-to-the-minute comprehensive introduction to the methods, models and applications of configural frequency analysis. The book presents a formal yet accessible description of all methods and models, and uses actual empirical data examples to illustrate the key concepts.
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Clustering and Classification
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by
Phipps Arabie
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering; variable selection and weighting; additive trees and other network models; relevance of neural network models to clustering; the role of computational ...
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Applied Manova and Discriminant Analysis
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by
Carl J Huberty, Stephen Olejnik
A complete introduction to discriminant analysis extensively revised, expanded, and updated, this Second Edition of the classic book, "Applied Discriminant Analysis", reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly updated and revised, this book continues to be essential for any ...
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Classification and Clustering: Proceedings of an Advanced Seminar Conducted by the Mathematics Research Center, the University of Wisconsin--Madison, May 3-5, 1976
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John Van Ryzin
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Construction and Assessment of Classification Rules
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by
David J Hand
Classification rules can be defined as objective, formal methods used for statistical classification. This text presents the central issues and placing particular emphasis on comparison, assessment and how to match method to application. It reviews the different approaches and guides researchers (and the huge class of users and potential users) to ...
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Classification Algorithms
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by
Mike James
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Discrete Discriminant Analysis
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by
Matthew Goldstein
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Discriminant Analysis and Applications
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by
T Cacoullos
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Classification, 2nd Edition
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by
A D Gordon
As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just that - investigates sets of 'objects' to see if they can ...
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Discrimination and Classification
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D J Hand
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The Analysis of Cross-Classifications
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H T Reynolds
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Classification, Estimation, and Pattern Recognition
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by
Tzay Y Young
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Discriminant Analysis
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by
Peter A Lachenbruch
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Kernel discriminant analysis
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by
D J Hand
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Classification, Pattern Recognition and Reduction of Dimensionality
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by
Paruchuri R Krishnaiah, L N Kanal
Papers included in this volume deal with discriminant analysis, clustering techniques and software, multidimensional scaling, statistical, linguistic and artificial intelligence models and methods for pattern recognition and some of their applications. Further examined are the selection of subsets of variables for allocation and discrimination, ...
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Discrimin Analysis & Statist Recognition
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by
Geoffrey McLachlan
This study is a systematic account of the subject area, concentrating on recent advances in the field. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant ...
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Treasure Boxes: Grades K-3
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by
Jaine Kopp, Kimi Hosoume
In this innovative series of mathematics activities, children create personal collections of recycled, "found," and inexpensive objects and investigate their properties. Challenges that call for careful observation, sorting and classification, logical thinking, graphing, and analyzing data are woven throughout this unit. Activities are outlined ...
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Discriminant Analysis and Class Modelling of Spectroscopic Data
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by
E K Kemsley
This unique book and software package ("Win-DAS") is both an introduction to discriminant analysis and class modelling, and a powerful tool for analysis of the user's own spectro8copic data. The software includes worked examples based on real data sets, including distinguishing between different types of coffee, and species identification in fruit ...
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Classification: Methods for the Exploratory Analysis of Multivariate Data
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by
A D Gordon
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