This volume presents an overview of the state of the art in data visualization, encompassing correspondence analysis, nonlinear principal component analysis, cluster analysis, multidimensional scaling, and much more. It covers the historical development of each topic along with modern techniques...
To Be Published April 8th 2014 by Chapman and Hall/CRC
Frontiers and perspectives
Many policies in several Western European countries and the U.S. aim to counter spatial concentrations of deprivation and create more socio-economically mixed residential areas. Such policies are founded on the belief that neighbourhoods have a strong and independent effect upon the well-being and...
Published December 1st 2008 by Routledge
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical...
Published June 22nd 2006 by Chapman and Hall/CRC