ISSN:
1573-8868
Keywords:
classification
;
cluster analysis
;
dimensionality reduction
;
mapping
;
multivariate analysis
;
principal-components analysis
;
general geology
;
geochemistry
;
paleontology
;
petrology
;
stratigraphy
Source:
Springer Online Journal Archives 1860-2000
Topics:
Geosciences
,
Mathematics
Notes:
Abstract A new algorithm has been developed by J. W. Sammon for the nonlinear-point mapping of high-dimensional data in two dimensions such that the inherent structure of the data is approximately preserved. This paper describes results using several sets of geologic data including stratigraphic thickness, petrographic modal analysis, and morphological or geochemical measurements. Comparisons are made with hierarchical cluster analysis using dendrogram representation. Initial results are encouraging and suggest that the technique could have widespread geological applications.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02114086
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