Cluster Analysis And Data Mining

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Cluster Analysis and Data Mining

Ronald S. King
Cluster Analysis and Data Mining Book PDF

Author : Ronald S. King
Publisher : Mercury Learning and Information
Page : 300 pages
File Size : 40,8 Mb
Release : 2015-05-12
Category : Computers
ISBN : 9781942270133

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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 for Data Mining and System Identification

János Abonyi,Balázs Feil
Cluster Analysis for Data Mining and System Identification Book PDF

Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 51,6 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.

Classification, Clustering, and Data Mining Applications

International Federation of Classification Societies. Conference
Classification Clustering and Data Mining Applications Book PDF

Author : International Federation of Classification Societies. Conference
Publisher : Springer Science & Business Media
Page : 676 pages
File Size : 52,9 Mb
Release : 2004-06-09
Category : Computers
ISBN : 9783540220145

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Classification, Clustering, and Data Mining Applications by International Federation of Classification Societies. Conference Pdf

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Advances in K-means Clustering

Junjie Wu
Advances in K means Clustering Book PDF

Author : Junjie Wu
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 52,5 Mb
Release : 2012-07-09
Category : Computers
ISBN : 9783642298073

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Advances in K-means Clustering by Junjie Wu Pdf

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.

Classification, Clustering, and Data Mining Applications

David Banks,Leanna House,Frederick R. McMorris,Phipps Arabie,Wolfgang A. Gaul
Classification Clustering and Data Mining Applications Book PDF

Author : David Banks,Leanna House,Frederick R. McMorris,Phipps Arabie,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 642 pages
File Size : 42,5 Mb
Release : 2011-01-07
Category : Language Arts & Disciplines
ISBN : 9783642171031

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Classification, Clustering, and Data Mining Applications by David Banks,Leanna House,Frederick R. McMorris,Phipps Arabie,Wolfgang A. Gaul Pdf

This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Cluster Analysis for Data Mining and System Identification

János Abonyi,Balázs Feil
Cluster Analysis for Data Mining and System Identification Book PDF

Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 46,5 Mb
Release : 2007-06-22
Category : Mathematics
ISBN : 9783764379872

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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.

Data Clustering

Charu C. Aggarwal,Chandan K. Reddy
Data Clustering Book PDF

Author : Charu C. Aggarwal,Chandan K. Reddy
Publisher : CRC Press
Page : 654 pages
File Size : 41,8 Mb
Release : 2018-09-03
Category : Business & Economics
ISBN : 9781315360416

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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 for Data Mining

Boris Mirkin
Clustering for Data Mining Book PDF

Author : Boris Mirkin
Publisher : CRC Press
Page : 291 pages
File Size : 40,8 Mb
Release : 2005-04-29
Category : Business & Economics
ISBN : 9781420034912

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Clustering for Data Mining by Boris Mirkin Pdf

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical attention that wou

Cluster Analysis and Applications

Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar
Cluster Analysis and Applications Book PDF

Author : Rudolf Scitovski,Kristian Sabo,Francisco Martínez-Álvarez,Šime Ungar
Publisher : Springer Nature
Page : 277 pages
File Size : 46,6 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.

Handbook of Cluster Analysis

Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Handbook of Cluster Analysis Book PDF

Author : Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Publisher : CRC Press
Page : 753 pages
File Size : 46,5 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

Data Science

Francesco Palumbo,Angela Montanari,Maurizio Vichi
Data Science Book PDF

Author : Francesco Palumbo,Angela Montanari,Maurizio Vichi
Publisher : Springer
Page : 342 pages
File Size : 54,5 Mb
Release : 2017-07-04
Category : Mathematics
ISBN : 9783319557236

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Data Science by Francesco Palumbo,Angela Montanari,Maurizio Vichi Pdf

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Data Clustering: Theory, Algorithms, and Applications, Second Edition

Guojun Gan,Chaoqun Ma,Jianhong Wu
Data Clustering Theory Algorithms and Applications Second Edition Book PDF

Author : Guojun Gan,Chaoqun Ma,Jianhong Wu
Publisher : SIAM
Page : 430 pages
File Size : 45,6 Mb
Release : 2020-11-10
Category : Mathematics
ISBN : 9781611976335

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Data Clustering: Theory, Algorithms, and Applications, Second Edition by Guojun Gan,Chaoqun Ma,Jianhong Wu Pdf

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Business Intelligence and Data Mining

Anil Maheshwari
Business Intelligence and Data Mining Book PDF

Author : Anil Maheshwari
Publisher : Business Expert Press
Page : 226 pages
File Size : 47,9 Mb
Release : 2014-12-31
Category : Business & Economics
ISBN : 9781631571213

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Business Intelligence and Data Mining by Anil Maheshwari Pdf

“This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as a textbook for graduate courses in Business Intelligence and Data Mining.” Dr. Edi Shivaji, Des Moines, Iowa “As a complete novice to this area just starting out on a MBA course I found the book incredibly useful and very easy to follow and understand. The concepts are clearly explained and make it an easy task to gain an understanding of the subject matter.” -- Mr. Craig Domoney, South Africa. Business Intelligence and Data Mining is a conversational and informative book in the exploding area of Business Analytics. Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course. It is also short and accessible enough for a busy executive to become a quasi-expert in this area in a couple of hours. Every chapter begins with a case-let from the real world, and ends with a case study that runs across the chapters.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1378 pages
File Size : 44,6 Mb
Release : 2006-05-28
Category : Computers
ISBN : 9780387254654

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Applied Data Mining

Guandong Xu,Yu Zong,Zhenglu Yang
Applied Data Mining Book PDF

Author : Guandong Xu,Yu Zong,Zhenglu Yang
Publisher : CRC Press
Page : 284 pages
File Size : 54,5 Mb
Release : 2013-06-17
Category : Computers
ISBN : 9781466585843

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Applied Data Mining by Guandong Xu,Yu Zong,Zhenglu Yang Pdf

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest adv