Graphical representation of multivariate data using Chernoff faces
AbstractChernoff (1971, Technical Report 71, Department of Statistics, Stan- ford University; 1973, Journal of the American Statistical Association 68: 361– 368) proposed the use of cartoon-like faces to represent points in k dimensions. This article describes a Stata implementation of a face-generating algorithm using the method proposed by Flury (1980, Technical Report 3, Institute of Mathemati- cal Statistics and Actuarial Science, Bern University), Schu ̈pbach (1987, Technical Report 25, Institute of Mathematical Statistics and Acturial Science, Bern Univer- sity), and Friendly (1991, http://www.math.yorku.ca/SCS/sasmac/faces.html). I present examples of applying Chernoff faces to data clustering and outlier detection. Copyright 2009 by StataCorp LP.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 9 (2009)
Issue (Month): 3 (September)
Contact details of provider:
Web page: http://www.stata-journal.com/
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum) or (Lisa Gilmore).
If references are entirely missing, you can add them using this form.