Cluster Analysis For Researchers

Author : Charles Romesburg
Publisher : Lulu.com
Page : 334 pages
File Size : 53,5 Mb
Release : 2004
Category : Science
ISBN : 9781411606173

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Cluster Analysis for Researchers by Charles Romesburg Pdf

Back in print at a good price. To see the many websites referencing this book, in Google enter "cluster analysis" (in quotes) and Romesburg. Headlines of 5-star reviews on Amazon.com: "A very clear 'how to' book on cluster analysis" (C. Fielitz, Bristol, TN); "An excellent introduction to cluster analysis" (T. W. Powell, Shreveport, LA). A recent (2004) review in Journal of Classification (21:279-283) says: "We should be grateful to the author for his insistence in bringing forth important issues, which have not got yet that level of attention they deserve. I wish this journal could devote more efforts in promoting the scientific inquiry and discussions of methodology of clustering in scientific research [as Cluster Analysis for Researchers does]." To see or search inside the book, go to www.google.com, type in the book's title, and click on it when it comes up (or copy and paste in your browser's window the following URL: http://print.google.com/print?isbn=1411606175 ).

Author : Charles Romesburg
Publisher : Lulu.com
Page : 334 pages
File Size : 42,7 Mb
Release : 2004
Category : Science
ISBN : 9781411606173

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Cluster Analysis for Researchers by Charles Romesburg Pdf

Back in print at a good price. To see the many websites referencing this book, in Google enter "cluster analysis" (in quotes) and Romesburg. Headlines of 5-star reviews on Amazon.com: "A very clear 'how to' book on cluster analysis" (C. Fielitz, Bristol, TN); "An excellent introduction to cluster analysis" (T. W. Powell, Shreveport, LA). A recent (2004) review in Journal of Classification (21:279-283) says: "We should be grateful to the author for his insistence in bringing forth important issues, which have not got yet that level of attention they deserve. I wish this journal could devote more efforts in promoting the scientific inquiry and discussions of methodology of clustering in scientific research [as Cluster Analysis for Researchers does]." To see or search inside the book, go to www.google.com, type in the book's title, and click on it when it comes up (or copy and paste in your browser's window the following URL: http://print.google.com/print?isbn=1411606175 ).

Author : H. Charles Romesburg
Publisher : Krieger Publishing Company
Page : 334 pages
File Size : 53,9 Mb
Release : 1990-01-01
Category : Mathematics
ISBN : 0894644262

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Cluster Analysis for Researchers by H. Charles Romesburg Pdf

Author : Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Publisher : CRC Press
Page : 753 pages
File Size : 55,5 Mb
Release : 2015-12-16
Category : Business & Economics
ISBN : 9781466551893

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Handbook of Cluster Analysis by Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci Pdf

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The

Author : Brian S. Everitt,Sabine Landau,Morven Leese,Daniel Stahl
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 47,9 Mb
Release : 2011-01-14
Category : Mathematics
ISBN : 9780470978443

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Cluster Analysis by Brian S. Everitt,Sabine Landau,Morven Leese,Daniel Stahl Pdf

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies./li> Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.

Author : Brian S. Everitt
Publisher : Unknown
Page : 122 pages
File Size : 45,8 Mb
Release : 1977
Category : Electronic
ISBN : OCLC:878170999

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Cluster Analysis by Brian S. Everitt Pdf

Author : Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar
Publisher : Springer Nature
Page : 277 pages
File Size : 52,7 Mb
Release : 2021-07-22
Category : Computers
ISBN : 9783030745523

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Cluster Analysis and Applications by Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar Pdf

With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods. With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.

Author : Daniel N. Allen,Gerald Goldstein
Publisher : Springer Science & Business Media
Page : 140 pages
File Size : 51,9 Mb
Release : 2014-07-08
Category : Psychology
ISBN : 9781461467441

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Cluster Analysis in Neuropsychological Research by Daniel N. Allen,Gerald Goldstein Pdf

​​ ​Cluster analysis is a multivariate classification technique that allows for identification of homogenous subgroups within diverse samples based on shared characteristics. In recent years, cluster analysis has been increasingly applied to psychological and neuropsychological variables to address a number of empirical questions. This book provides an overview of cluster analysis, including statistical and methodological considerations in its application to neurobehavioral variables. First, an introduction to cluster analysis is presented that emphasizes issues of relevance to neuropsychological research, including controversies surrounding it use. Cluster analysis is then applied to clinical disorders that do not have an associated prototypical neuropsychological profile, including traumatic brain injury, schizophrenia, and health problems associated with homelessness. In a second application, cluster analysis is used to investigate the course of normal memory development. Finally, cluster analysis is applied to classification of brain injury severity in children and adolescents who sustained traumatic brain injury.

Author : Mark S. Aldenderfer,Roger K. Blashfield
Publisher : Chronicle Books
Page : 92 pages
File Size : 44,6 Mb
Release : 1984-11
Category : Mathematics
ISBN : 0803923767

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Cluster Analysis by Mark S. Aldenderfer,Roger K. Blashfield Pdf

Although clustering--the classification of objects into meaningful sets--is an important procedure in the social sciences today, cluster analysis as a multivariate statistical procedure is poorly understood by many social scientists. This volume is an introduction to cluster analysis for social scientists and students.

Author : Ram Gnanadesikan
Publisher : National Academies Press
Page : 116 pages
File Size : 51,9 Mb
Release : 1988-01-01
Category : Mathematics
ISBN : 8210379456XXX

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Discriminant Analysis and Clustering by Ram Gnanadesikan Pdf

Author : S. Miyamoto
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 47,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401578875

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Fuzzy Sets in Information Retrieval and Cluster Analysis by S. Miyamoto Pdf

The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis. Fuzzy set theory supplies new concepts and methods for the other two fields, and provides a common frame work within which they can be reorganized. Four principal groups of readers are assumed: researchers or students who are interested in (a) application of fuzzy sets, (b) theory of information retrieval or bibliographic databases, (c) hierarchical clustering, and (d) application of methods in systems science. Readers in group (a) may notice that the fuzzy set theory used here is very simple, since only finite sets are dealt with. This simplification enables the max min algebra to deal with fuzzy relations and matrices as equivalent entities. Fuzzy graphs are also used for describing theoretical properties of fuzzy relations. This assumption of finite sets is sufficient for applying fuzzy sets to information retrieval and cluster analysis. This means that little theory, beyond the basic theory of fuzzy sets, is required. Although readers in group (b) with little background in the theory of fuzzy sets may have difficulty with a few sections, they will also find enough in this monograph to support an intuitive grasp of this new concept of fuzzy information retrieval. Chapter 4 provides fuzzy retrieval without the use of mathematical symbols. Also, fuzzy graphs will serve as an aid to the intuitive understanding of fuzzy relations.

Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 53,6 Mb
Release : 2007-08-10
Category : Mathematics
ISBN : 9783764379889

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Cluster Analysis for Data Mining and System Identification by János Abonyi,Balázs Feil Pdf

The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.

Author : Paolo Giordani,Maria Brigida Ferraro,Francesca Martella
Publisher : Springer Nature
Page : 340 pages
File Size : 44,9 Mb
Release : 2020-08-27
Category : Mathematics
ISBN : 9789811305535

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An Introduction to Clustering with R by Paolo Giordani,Maria Brigida Ferraro,Francesca Martella Pdf

The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book.

Author : Brian Everitt
Publisher : Heinemann Educational Books
Page : 152 pages
File Size : 51,9 Mb
Release : 1980
Category : Mathematics
ISBN : UOM:39015017387773

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Cluster Analysis by Brian Everitt Pdf

Cluster analysis is a general term for a wide range of numerical methods used to examine multivariate data with a view to uncovering or discovering groups or clusters of homogeneous observations. This volume introduces the possibilities and limitations of clustering for research workers, as well as statisticians and graduate students in a variety of disciplines. Covers classification and clustering, visualizing clusters, measurement of proximity, hierarchical clustering, optimization techniques, finite mixture densities as models, miscellaneous methods, and comments and guidelines. Distributed by Oxford U. Press. c. Book News Inc.

Author : Leonard Kaufman,Peter J. Rousseeuw
Publisher : Wiley-Interscience
Page : 376 pages
File Size : 40,5 Mb
Release : 1990-03-22
Category : Mathematics
ISBN : UCSD:31822005118112

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Finding Groups in Data by Leonard Kaufman,Peter J. Rousseeuw Pdf

Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive analysis (Program DIANA). Monothetic analysis (Program MONA). Appendix.