A visualization model based on adjacency data

Authors:
Edward Condon;Bruce Golden;Shreevardhan Lele;S. Raghavan;Edward Wasil
Affiliations:
Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, MD;R.H. Smith School of Business, University of Maryland, College Park, MD;R.H. Smith School of Business, University of Maryland, College Park, MD;R.H. Smith School of Business, University of Maryland, College Park, MD;Kogod School of Business, American University, Washington, DC
Venue:
Decision Support Systems
Year:
2002

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Visualization

Abstract

In this paper, we describe a model whose focus is on data visualization. We assume the data are provided in adjacency format, as is frequently the case in practice. As an example, individuals who buy item a are likely to buy or consider buying items b, c, and d, also. We present a simple technique for obtaining distance measures between data points. Armed with the resulting distance matrix, we show how Sammon maps can be used to visualize the data points. An application to the college selection process is discussed in detail.