# Cluster Analysis

Cluster Analysis

Uprichard, Emma; Byrne, David

SAGE Publications Ltd

01/2012

1584

Inglês

9780857021281

15 a 20 dias

3010

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. Dupre

How things Work - G. Bowker

How Real are Statistics? Four Possible Attitudes - A. Desrosieres

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. Barbara 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 Fuzzy Cluster Analysis - B. Cooper and J. Glaesser

A Comparison of Cluster Analysis Techniques within a Sequential Validation Framework - L. Morey, R. Blashfield and H. Skinner

VOLUME FOUR: DATA MINING WITH CLASSIFICATION

Introduction - David Byrne and Emma Uprichard

Data Mining for Fun and Profit - D. Hand et al

Cluster Analysis using Data Mining Approach to Develop CRM Methodology to Assess the Customer Loyalty - S. Hosseini

Techniques of Cluster Algorithms in Data Mining - J. Grabner and A. Rudolph

Data-Mining Discovery of Pattern and Process in Ecological Systems - M. Wesley et al

Data Mining in Soft Computing Framework: A Survey - Sushmita Mitra, Sankar K. Pal and Pabitra Mitra

Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches - Ira S. Rubinstein, Ronald D. Lee and P. Schwartz

Statistical Classification Methods in Consumer Credit Scoring: A Review - D. Hand and W. Henley

Data Mining: An Overview from a Database Perspective - Ming-Syan Chen, Jiawei Han and Philip S. Yu

50 Years of Data Mining and OR: Upcoming trends and Challenges - B. Baesens et al

A General Framework for Mining Massive Data Streams - P. Domingos and G. Hulten

Confidence in Classification: A Bayesian Approach - W. Krazanowski et al

Visualization Techniques for Mining Large Databases: A Comparison - Daniel Keim and Kriegel Hans-Peter

Visualization of Fuzzy Clusters by Fuzzy Sammon Mapping Projection: Application to the Analysis of Phase Space Trajectories - B. Feil, B. Balasko and J. Abonyi

Spatial-Temporal Data Mining Procedure: LASR - Xiaofeng Wang

Turning Datamining into a Management Science Tool: New Algorithms and Empirical Results - Lee Cooper and Giovanni Giuffrida

Data Mining of Massive Datasets in Healthcare - C. Goodall

Conclusion - David Byrne and Emma Uprichard

**Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.**

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. Dupre

How things Work - G. Bowker

How Real are Statistics? Four Possible Attitudes - A. Desrosieres

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. Barbara 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 Fuzzy Cluster Analysis - B. Cooper and J. Glaesser

A Comparison of Cluster Analysis Techniques within a Sequential Validation Framework - L. Morey, R. Blashfield and H. Skinner

VOLUME FOUR: DATA MINING WITH CLASSIFICATION

Introduction - David Byrne and Emma Uprichard

Data Mining for Fun and Profit - D. Hand et al

Cluster Analysis using Data Mining Approach to Develop CRM Methodology to Assess the Customer Loyalty - S. Hosseini

Techniques of Cluster Algorithms in Data Mining - J. Grabner and A. Rudolph

Data-Mining Discovery of Pattern and Process in Ecological Systems - M. Wesley et al

Data Mining in Soft Computing Framework: A Survey - Sushmita Mitra, Sankar K. Pal and Pabitra Mitra

Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches - Ira S. Rubinstein, Ronald D. Lee and P. Schwartz

Statistical Classification Methods in Consumer Credit Scoring: A Review - D. Hand and W. Henley

Data Mining: An Overview from a Database Perspective - Ming-Syan Chen, Jiawei Han and Philip S. Yu

50 Years of Data Mining and OR: Upcoming trends and Challenges - B. Baesens et al

A General Framework for Mining Massive Data Streams - P. Domingos and G. Hulten

Confidence in Classification: A Bayesian Approach - W. Krazanowski et al

Visualization Techniques for Mining Large Databases: A Comparison - Daniel Keim and Kriegel Hans-Peter

Visualization of Fuzzy Clusters by Fuzzy Sammon Mapping Projection: Application to the Analysis of Phase Space Trajectories - B. Feil, B. Balasko and J. Abonyi

Spatial-Temporal Data Mining Procedure: LASR - Xiaofeng Wang

Turning Datamining into a Management Science Tool: New Algorithms and Empirical Results - Lee Cooper and Giovanni Giuffrida

Data Mining of Massive Datasets in Healthcare - C. Goodall

Conclusion - David Byrne and Emma Uprichard

**Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.**