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
Articles
Articles
Kruskal and Wish. Multidimensional Scaling. Sage. 0-8039-0940-3
DeJordy, Borgatti, Roussin and Halgin. Visualizing Proximity Data. Field Methods. 19:239-263. [pdf]
Homework
Homework
Pilesort exercise -- analyses due today
Optional
Weller and Romney. Metric Scaling.Sage.
Handouts
Handouts
Borgatti. Distance and correlation
Borgatti. Notes on similarity measures
Borgatti. MDS
Borgatti. Hierarchical Clustering
Borgatti. Consensus analysis
Darlington. Factor analysis [html]
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