A visualization model based on adjacency data
Autor: | Shreevardhan Lele, Bruce L. Golden, S. Raghavan, Edward Wasil, Edward Condon |
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Rok vydání: | 2002 |
Předmět: |
Information Systems and Management
Computer science business.industry Nonlinear dimensionality reduction computer.software_genre Distance measures Management Information Systems Visualization Sammon mapping Data point Data visualization Arts and Humanities (miscellaneous) Distance matrix Developmental and Educational Psychology Adjacency list Multidimensional scaling Data mining business computer Information Systems |
Zdroj: | Decision Support Systems. 33:349-362 |
ISSN: | 0167-9236 |
DOI: | 10.1016/s0167-9236(02)00003-9 |
Popis: | 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. |
Databáze: | OpenAIRE |
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