Visualizing multivariate analysis - An intuitive approach to high dimensional statistical extractions
| dc.contributor.author | Lewis, Stephen J. | * |
| dc.date.accessioned | 2009-04-14T13:10:52Z | |
| dc.date.available | 2009-04-14T13:10:52Z | |
| dc.date.issued | 1997-12-01 | |
| dc.identifier.citation | In K. Boyle & S. Anderson (Eds.), Computing and statistics in osteoarchaeology (pp. 31-34). Oxford: Oxbow Books, 1997. | |
| dc.identifier.isbn | 1900188465 | |
| dc.identifier.uri | http://hdl.handle.net/10034/64836 | |
| dc.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. | |
| dc.description.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. | |
| dc.language.iso | en | en |
| dc.publisher | Oxbow Books | |
| dc.relation.url | http://www.oxbowbooks.com/home.cfm | en |
| dc.subject | visualizing multivariate analysis | en |
| dc.title | Visualizing multivariate analysis - An intuitive approach to high dimensional statistical extractions | en |
| dc.type | Book chapter | en |
| dc.contributor.department | Chester College of Higher Education | |
| html.description.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. |
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