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An empirical discriminant method applied to sedimentary-rock classification from major-element geochemistry

https://doi.org/10.1007/bf02047432
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Outgoing claims: the papers this work cites, builds on, or argues with.

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On a mathematical procedure for detecting significant parameters in the classification of a statistical ensemble of phenomena and its applications
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Selection and ordering of feature observations in a pattern recognition system
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Sequential Methods in Pattern Recognition and Machine Learning
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Generation of Polynomial Discriminant Functions for Pattern Recognition
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State of the art in pattern recognition
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Vectorcardiographic Diagnosis Using the Polynomial Discriminant Method of Pattern Recognition
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Factor Analysis as a Statistical Method.
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Factor Analysis as a Statistical Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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E
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Oceanic mafic rocks in the Eastern Alps
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Evaluation of some statistical methods of interpreting multi-element geochemical drainage data from New Brunswick
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Stochastic prediction in geomorphology using Bayesian inference models
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Exploration geochemistry—Distribution of elements and recognition of anomalies
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Letters to the editor
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Interpretation of a rock geochemical exploration survey in Cyprus - statistical and graphical techniques
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Interpretation of a detailed rock geochemical survey around mathiati mine, Cyprus
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Exploration rock geochemistry — detection of trace element halos at heath steele mines (N.B., Canada) by discriminant analysis
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The application of stepwise discriminant analysis to geochemical data from the host rocks of the Sullivan Pb-Zn-Ag deposit, Kimberley, B.C., Canada
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On the use of discriminant analysis techniques for classifying chemical data from panned heavy—mineral concentrates—Central East Greenland
inferred← citeshttps://doi.org/10.1016/b978-0-08-020613-4.50016-1openalex-snapshot
A SEDIMENTOLOGICAL PATTERN RECOGNITION PROBLEM
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Multivariate Analysis
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Geochemical Characterization of Tin Granites in Northern Thailand
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Mineral Favorability Mapping: A Comparison of Artificial Neural Networks, Logistic Regression, and Discriminant Analysis
inferred← citeshttps://doi.org/10.1144/1467-7873/09-238openalex-snapshot
Statistical analysis and data display at the Geochemical Prospecting Research Centre and Applied Geochemistry Research Group, Imperial College, London
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Proceedings of the Michigan Morphometrics Workshop.
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Geochemical and geostatistical evaluation of American Flats-Silverton planning units, San Juan volcanic province, Colorado
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Geochemical and geostatistical evaluation, Arkansas Canyon Planning Unit, Fremont and Custer Counties, Colorado
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