
%0 Journal Article
%A Dickson, B.L. 
%A Fraser, S.J. 
%A Sliwa, R. 
%T Knowledge from data ? a new tool for analysis of diverse data
%J ASEG Extended Abstracts
%D 2004/03/01
%V 2004
%N 1
%P 1-4
%K 
%R https://doi.org/10.1071/ASEG2004AB031
%U https://www.publish.csiro.au/paper/ASEG2004AB031 
%X Self Organizing Maps (SOM) are a tool for the visualization and interpretation of complex, multivariate data with many potential applications in geophysics. We demonstrate the ability of the SOM method to analyse a data set with 50% missing data. This robustness of a SOM enables it to also be used to interpolate missing data and see through noise to underlying relationships between the data variables. A study involving geophysical log data for the characterization and prediction of lithologies with anomalous levels of radioactivity in the Bowen Basins is used to illustrate the calibration of a SOM. In this case the SOM was used to identify the radioactive sandstones. This was then used successfully as a classification template for data from another mine site, >30km to northeast. 
