Cluster Analysis

Four-Volume Set Auflage
ISBN: 978-0-85702-128-1
Verlag: Sage Publications

Buch, Englisch, 1584 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 3034 g

Reihe: SAGE Benchmarks in Social Research Methods

Cluster analysis is a family of techniques that sorts - or more accurately, classifies - cases into groups of similar cases. 'Data mining' encompasses a whole host of methodological procedures that are used for cluster analysis while 'classification' that is the analytical catalyst to the methodological approach. Thinking about issues of 'classification', 'cluster analysis' and 'data mining' together in this four-volume collection is appropriate, therefore, specifically with regards to developing a case based 'attitude' to quantitative analysis. This collection does not simply focus on a set of methods, but in presenting a range of existing work together, the logic of what is arguably a methodological phase-shift in quantitative research is exposed. In effect, this four-volume collection sets forth an analytical strategy which is increasingly, both implicitly and explicitly, acknowledged across the disciplines as being rooted in the exploratory and descriptive investigation of cases. Bringing work on classification, cluster analysis and data mining together in a way that is both accessible and timely with respect to the level of 'activity' going on in each of these related areas is important to signal a step-change in the kind of data analysis that is currently taking place, nationally and internationally, and to facilitate further research by demarcating the methodological research where the cutting edge approaches to data analysis lie. Volume One: The Classics Volume Two: (Useful) Key Texts Volume Three: Cluster Analysis in Practice Volume Four: Data Mining with Classification

Autoren/Hrsg.

Byrne, David

Uprichard, Emma

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung

Inhaltsverzeichnis

VOLUME ONE: THE CLASSICS
Introduction - David Byrne and Emma Uprichard
The Distinctiveness of Case-Oriented Research - C. Ragin
The Causal Devolution - A. Abbott
A Tradition of Natural Kinds - I. Hacking
How "Natural" are "Kinds" of Sexual Orientation?' - I. Hacking
The Logic of Classification - W. L. Davidson
On the Logic of Classification - G. Sandri
Scientific Classification - J. Dupré
How things Work - G. Bowker
How Real are Statistics? Four Possible Attitudes - A. Desrosières
EXTRACTS FROM The Growth of Cluster Analysis: Tryon, Ward, and Johnson - R. Blashfield
The Continuing Search for Order - R. Sokal
Phenetic Taxonomy: Theory and Methods - R. Sokal
Principles of Clustering - W. T. Williams
A Quantitative Approach to a Problem in Classification - C. Michener and R. Sokal
Representation of Similarity Matrices by Trees - J. A. Hartigan
Data Clustering: A Review - A. Jain, M. Murty and P. Flynn
VOLUME TWO: (USEFUL) KEY TEXTS
Introduction - David Byrne and Emma Uprichard
Cluster Analysis in Perspective - D. Speece
The Practice of Cluster Analysis - J. Kettering
A Review of Classification - R. Cormack
Sociological Classification and Cluster Analysis - K. Bailey
Cluster Analysis - K. Bailey
Literature on Cluster-Analysis - R. K. Blashfield and M. S. Aldenderfer
Distance as a Measure of Taxonomic Similarity - R. Sokal
Efficiency in Taxonomy - R. Sokal and P. Sneath
Numerical Taxonomy: Points of View - R. Sokal et al
Hierarchical Grouping to Optimize an Objective Function - J. Ward
An Examination of Procedures for Determining the Number of Clusters in a Data Set - G. Milligan
A Comparison of Some Methods of Cluster Analysis - J. C. Gower
A Nearest Centroid Technique for Evaluating the Minimum-variance Clustering Procedure - R. M. McIntyre and R. K. Blashfield
Measurement Problems in Cluster Analysis - D. G. Morrison
Unresolved Problems in Cluster Analysis - B. Everitt
VOLUME THREE: CLUSTER ANALYSIS IN PRACTICE
Introduction - David Byrne and Emma Uprichard
The Use and Reporting of Cluster Analysis in Health Psychology: A Review - J. Clatworthy et al
Cluster Analysis in Illness Perception Research: A Monte Carlo Study to Identify the Most Appropriate Method - J. Clatworthy et al
The Psychiatric and Criminal Careers of Mentally Disordered Offenders Referred to a Custody Diversion Team in the United Kingdom - W. Dyer
Fuzzy Cluster Analysis of Molecular Dynamics Trajectories - H. Gordon and R. Somorjai
Mosaic: From an Area Classification System to Individual Classification - R. Webber and Farr
Creating the UK National Statistics 2001 Output Area Classification - D. Vickers and P. Rees
Spatial Analysis Using Clustering Methods: Evaluating Central Point and Median Approaches - A. Murray
Use of Multiple Correspondence Analysis and Cluster Analysis to Study Dietary Behaviour: Food Consumption Questionnaire in the Su.Vi.Max. Cohort - C. Guinot et al
Shopping-related Attitudes: a Factor and Cluster Analysis of Northern California Shoppers - P. Mokhtarian, D. Ory and X. Cao
Combining Cluster and Discriminant Analysis to Develop a Social Bond Topology of Runaway Youth - A. Cherry
Heirarchical Clustering via Joint Between-Within Distances: Extending Ward's Minimum Variance Method - G. Szekely and M. Rizzo
Fuzzy Classification in Dynamic Environments - A. Bouchachia
A Multistep Unsupervised Fuzzy Clustering Analysis of fMRI Time Series - M. Fadili et al
A Note on K-modes Clustering - Z. Huang and M. Ng
Using Self-Similarity to Cluster Large Data Sets - D. Barbará and P. Chen
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning - P. Cunningham
Using Case-based Approaches to Analyse Large Datasets: A Comparison of Ragin's fsQCA and

Über Autor(innen)

Byrne, David
David Byrne is Emeritus Professor of Sociology and Applied Social Sciences at the University of Durham. He has published widely on the methodology of social research, for example, in Interpreting Quantitative Data (2002) and with Charles Ragin edited The SAGE Handbook of Case Based Methods (2009). His major theoretical engagement is with the deployment of the complexity frame of reference across the social sciences—see Complexity Theory and the Social Sciences: The State of the Art (with Gillian Callaghan, 2011) with a particular focus on application to policy and practice. His current research focus is on the implications of the transition to the post-industrial in welfare capitalism—Paying for the Welfare State in the 21st Century (with Sally Ruane, 2011) and Class After Industry (2018).