Finding Groups in Data

Finding Groups in Data

Author: Leonard Kaufman

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 368

ISBN-13: 0470317485

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." —Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." —Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." —Technometrics An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.


Finding Groups in Data

Finding Groups in Data

Author: Leonard Kaufman

Publisher: Wiley-Interscience

Published: 1990-03-22

Total Pages: 376

ISBN-13:

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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.


Group Privacy

Group Privacy

Author: Linnet Taylor

Publisher: Springer

Published: 2016-12-28

Total Pages: 249

ISBN-13: 3319466089

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The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.


Data Analysis and Applications 1

Data Analysis and Applications 1

Author: Christos H. Skiadas

Publisher: John Wiley & Sons

Published: 2019-03-04

Total Pages: 292

ISBN-13: 1119597579

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This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.


An Introduction to Clustering with R

An Introduction to Clustering with R

Author: Paolo Giordani

Publisher: Springer Nature

Published: 2020-08-27

Total Pages: 346

ISBN-13: 9811305536

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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.


An Introduction to Applied Multivariate Analysis with R

An Introduction to Applied Multivariate Analysis with R

Author: Brian Everitt

Publisher: Springer Science & Business Media

Published: 2011-04-23

Total Pages: 284

ISBN-13: 1441996508

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The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.


Dataclysm

Dataclysm

Author: Christian Rudder

Publisher: Crown

Published: 2014-09-09

Total Pages: 226

ISBN-13: 0385347383

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A New York Times Bestseller An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we truly are. For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers. In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible. Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.


Women Who Sell Sex

Women Who Sell Sex

Author: Elizabeth Krumrei Mancuso

Publisher: Springer Nature

Published: 2020-06-08

Total Pages: 186

ISBN-13: 303047027X

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Based on leading empirical psychological research from around the world, this book offers valuable insights on women who sell sex. It synthesizes the extensive body of scholarly work on the topic of women selling sex from a psychological perspective in order to understand why women choose to do so. In turn, the book highlights a range of important sociocultural contexts surrounding the sale of sex that are major sources of stress, and examines how women cope with these circumstances. Illustrating the multi-faceted nature of selling sex, the book will contribute to debates on individual and societal responses to this major sociopolitical—and at the same time, deeply personal—issue. Including original case material and outlining future directions for researchers, it offers an informative and engaging resource for academics, researchers, students and professionals around the globe.


The Pocketbook of Audience Research

The Pocketbook of Audience Research

Author: Joke Hermes

Publisher: Taylor & Francis

Published: 2023-12-18

Total Pages: 179

ISBN-13: 100099483X

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Focusing on qualitative methods, The Pocketbook of Audience Research uses contemporary, global television and cross-media examples to explain essential approaches to audience research and outline how they can be employed. This handy guide is divided into three parts: the first part, ‘Watching Post-Television’, offers ‘television’ as a shortcut to understanding today’s platform media and gives an introduction to key theoretical terms such as representation, identity and community. The second part, ‘Methods with Method’, introduces different methodological tools to study cross-media texts and practices from an audience-led perspective. With individual chapters covering ethnography, textual analysis and visual methodologies, this part also functions as a toolset and starting point for small research projects. The third part, ‘Methods in Action’, offers a variety of recent case studies to show how these methodological principles work in practice. Drawing on different genres from drama to sports, The Pocketbook of Audience Research gives a sense of what audience-led cross-media research can achieve. This concise, accessible book gives students, early-career researchers and creative professionals the tools to do useful and inspiring audience research, whether for a paper, a proposal or a market survey.