Author : Brian S. Everitt
Publisher : Unknown
Page : 122 pages
File Size : 53,9 Mb
Release : 1977
Category : Electronic
ISBN : OCLC:878170999
Cluster Analysis
Brian S. Everitt
On Clusters And Clustering
On Clusters And Clustering Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of On Clusters And Clustering book. This book definitely worth reading, it is an incredibly well-written.
Cluster Analysis and Data Mining
Ronald S. King
Author : Ronald S. King
Publisher : Mercury Learning and Information
Page : 300 pages
File Size : 52,6 Mb
Release : 2015-05-12
Category : Computers
ISBN : 9781942270133
Cluster Analysis and Data Mining by Ronald S. King Pdf
Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.
Cluster Analysis and Applications
Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar
Author : Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar
Publisher : Springer Nature
Page : 277 pages
File Size : 54,9 Mb
Release : 2021-07-22
Category : Computers
ISBN : 9783030745523
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.
Handbook of Cluster Analysis
Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Author : Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Publisher : CRC Press
Page : 753 pages
File Size : 43,9 Mb
Release : 2015-12-16
Category : Business & Economics
ISBN : 9781466551893
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
Cluster Analysis for Data Mining and System Identification
János Abonyi,Balázs Feil
Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 54,8 Mb
Release : 2007-08-10
Category : Mathematics
ISBN : 9783764379889
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.
Cluster Analysis
Brian S. Everitt,Sabine Landau,Morven Leese,Daniel Stahl
Author : Brian S. Everitt,Sabine Landau,Morven Leese,Daniel Stahl
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 55,5 Mb
Release : 2011-01-14
Category : Mathematics
ISBN : 9780470978443
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.
Data Clustering
Charu C. Aggarwal,Chandan K. Reddy
Author : Charu C. Aggarwal,Chandan K. Reddy
Publisher : CRC Press
Page : 648 pages
File Size : 40,6 Mb
Release : 2013-08-21
Category : Business & Economics
ISBN : 9781466558229
Data Clustering by Charu C. Aggarwal,Chandan K. Reddy Pdf
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Clustering
Rui Xu,Don Wunsch
Author : Rui Xu,Don Wunsch
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 40,6 Mb
Release : 2008-11-03
Category : Mathematics
ISBN : 9780470382783
Clustering by Rui Xu,Don Wunsch Pdf
This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
Modern Algorithms of Cluster Analysis
Slawomir Wierzchoń,Mieczyslaw Kłopotek
Author : Slawomir Wierzchoń,Mieczyslaw Kłopotek
Publisher : Springer
Page : 421 pages
File Size : 43,9 Mb
Release : 2017-12-29
Category : Technology & Engineering
ISBN : 9783319693088
Modern Algorithms of Cluster Analysis by Slawomir Wierzchoń,Mieczyslaw Kłopotek Pdf
This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. Usually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented. In addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.
Geodemographics, GIS and Neighbourhood Targeting
Richard Harris,Peter Sleight,Richard Webber
Author : Richard Harris,Peter Sleight,Richard Webber
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 40,9 Mb
Release : 2005-12-13
Category : Science
ISBN : 9780470864159
Geodemographics, GIS and Neighbourhood Targeting by Richard Harris,Peter Sleight,Richard Webber Pdf
Geodemographic classification is ‘big business’ in the marketing and service sector industries, and in public policy there has also been a resurgence of interest in neighbourhood initiatives and targeting. As an increasing number of professionals realise the potential of geographic analysis for their business or organisation, there exists a timely gap in the market for a focussed book on geodemographics and GIS. Geodemographics: neighbourhood targeting and GIS provides both an introduction to and overview of the methods, theory and classification techniques that provide the foundation of neighbourhood analysis and commercial geodemographic products. Particular focus is given to the presentation and use of neighbourhood classification in GIS. Authored by leading marketing professionals and a prominent academic, this book presents methods, theory and classification techniques in a reader-friendly manner Supported by private and public sector case studies and vignettes The applied ‘how to’ sections will specifically appeal to the intended audience at work in business and service planning Includes information on the recent UK and US Census products and resulting neighbourhood classifications
Clustering and Classification
Phipps Arabie,Geert de Soete
Author : Phipps Arabie,Geert de Soete
Publisher : World Scientific
Page : 508 pages
File Size : 44,6 Mb
Release : 1996
Category : Mathematics
ISBN : 9810212879
Clustering and Classification by Phipps Arabie,Geert de Soete Pdf
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 complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.
An Introduction to Clustering with R
Paolo Giordani,Maria Brigida Ferraro,Francesca Martella
Author : Paolo Giordani,Maria Brigida Ferraro,Francesca Martella
Publisher : Springer Nature
Page : 340 pages
File Size : 41,8 Mb
Release : 2020-08-27
Category : Mathematics
ISBN : 9789811305535
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.
Cluster Analysis
Brian S. Everitt,Sabine Landau,Morven Leese
Author : Brian S. Everitt,Sabine Landau,Morven Leese
Publisher : Taylor & Francis
Page : 252 pages
File Size : 47,7 Mb
Release : 2001
Category : Computers
ISBN : 0340761199
Cluster Analysis by Brian S. Everitt,Sabine Landau,Morven Leese Pdf
Cluster analysis comprises a range of methods of classifying multivariate data into subgroups and these techniques are widely applicable. This new edition incorporates material covering developing areas such as Bayesian statistics & neural networks.
Handbook of Research on Cluster Theory
Charlie Karlsson
Author : Charlie Karlsson
Publisher : Edward Elgar Publishing
Page : 333 pages
File Size : 52,5 Mb
Release : 2010-01-01
Category : Business & Economics
ISBN : 9781848442849
Handbook of Research on Cluster Theory by Charlie Karlsson Pdf
Karlsson has assembled a strong mix of papers that collectively provide a good sense of some of the latest research in the field. Edward Feser, Review of Regional Studies This is a book every regional scientist and spatial analyst should have on their bookshelf. Like most Handbook type publications it provides depth and breadth on the basics of the industrial clustering concept. However, unlike most of these type of collections, it goes beyond the foundation material to identify and speculate on questions that are emerging on the research frontiers such as at the intersection of cluster theory and agglomeration processes, knowledge spillovers and technology transfer not to mention the obvious link to economic development theory, policy and practice. Roger R. Stough, George Mason University, US This eclectic volume presents a host of methods to describe tendencies for the joint location of economic agents in space. And it illustrates useful applications of these concepts in diverse fields financial services, culture, tourism, and industry, to name just a few. John M. Quigley, University of California, US Clusters have increasingly dominated local and regional development policies in recent decades and the growing intellectual and political interest for clusters and clustering is the prime motivation for this Handbook. Charlie Karlsson unites leading experts to present a thorough overview of economic cluster research. Topics explored include agglomeration and cluster theory, methods for analysing clusters, clustering in different spatial contexts and clustering in service industries. Encompassing the developed economies of Europe and North America, the Handbook provides a basis for improving cluster policy formulation, interpretation and analyses. This comprehensive overview of research on economic clusters will be of interest to scholars and PhD students in (regional) economics, economic geography, regional planning and management as well as practitioners and policymakers at the national, regional and local levels involved in cluster formation and cluster management.
Constrained Clustering
Sugato Basu,Ian Davidson,Kiri Wagstaff
Author : Sugato Basu,Ian Davidson,Kiri Wagstaff
Publisher : CRC Press
Page : 472 pages
File Size : 53,6 Mb
Release : 2008-08-18
Category : Computers
ISBN : 1584889977
Constrained Clustering by Sugato Basu,Ian Davidson,Kiri Wagstaff Pdf
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints. Algorithms The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints. Theory It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees. Applications The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints. With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.