Embedded Files
An introduction to finding patterns in data using exploratory multivariate methods, both numerical and graphical. The focus is on MDS, correspondence analysis, and clustering.
Topics
Topics
MDS, correspondence analysis and network drawing
clustering
factor analysis
Exercise (due last saturday -- email results to me on or before Sept 5)
Articles
Articles
DeJordy, Borgatti, Roussin and Halgin. Visualizing Proximity Data. Field Methods. 19:239-263. [pdf]
Optional
Optional
Weller and Romney. Metric Scaling.Sage.
Kruskal and Wish. Multidimensional Scaling. Sage. 0-8039-0940-3
Handouts
Handouts
Borgatti. MDS
Borgatti. Hierarchical Clustering
Borgatti. Notes on eigenstructures and factor analysis
correspondence analysis is R [html]
Slides
Data
Related Modules
Related Modules
Bibliography
Bibliography
General
Cowgill, G. L. 1968. Archaeological applications of factor, cluster, and proximity analysis. American Antiquity 33:367-375.
Kruskal and Wish. Multidimensional Scaling. Sage. 0-8039-0940-3
Weller and Romney. Metric Scaling. Sage.
DeJordy, Borgatti, Roussin and Halgin. Visualizing Proximity Data. Field Methods. 19:239-263. [pdf]
Correspondence Analysis
Douglas Carroll, Paul Green & Catherine Shaefer. 1987. "Comparing Interpoint Distances in Correspondence Analysis: A Classification," with J.Douglas Carroll and Paul E. Green, Journal of Marketing Research, 24 (November),1987, 445-450.[skim]
Greenacre, M.J. (1989). The Carroll-Green-Schaffer scaling in correspondence analysis: A theoretical and empirical appraisal. Journal of Marketing Research, 26, 358-365.
Greenacre, M.J. & Hastie, T. (1987). The geometric interpretation of correspondence analysis. Journal of the American Statistical Association, 82, 437-447.
Page updated
Google Sites
Report abuse