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Visualizing multivariate analysis - An intuitive approach to high dimensional statistical extractions

Lewis, Stephen J.
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1997-12-01
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Abstract
The numerical output of multivariate statistical analyses may extend to a greater number of dimensions than can be comprehended and so may appear abstract and divorced from the original data. A need arises, therefore, for the provision of a more intuitive understanding of the results of such techniques - perhaps of a graphical nature. A simple method is to plot, what have come to be known as, Andrews' curves. A tabular procedure, using a standard computer spreadsheet, is described whereby the coefficients produced by various multivariate statistical techniques can be substituted into a simple equation to produce a smooth, wave-like curve characterising the source data. Importantly, this technique also provides a means whereby groups of curves may be compared visually to identify clusters and curves of similar or dissimilar overall shape. Similarly, "outliers" may also be spotted.
Citation
In K. Boyle & S. Anderson (Eds.), Computing and statistics in osteoarchaeology (pp. 31-34). Oxford: Oxbow Books, 1997.
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Oxbow Books
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Type
Book chapter
Language
en
Description
This is the author's PDF version of an book chapter published in Computing and statistics in osteoarchaeology ©1997. The paper was originally delivered at the second meeting of the Osteoarchaeological Research Group at the Institute of Archaeology, University College, London on 8 April 1995.
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ISBN
1900188465
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http://www.oxbowbooks.com/home.cfm