
TY  - JOUR
A1  - Dickson, B.L. 
A1  - Fraser, S.J. 
A1  - Sliwa, R. 
T1  - Knowledge from data ? a new tool for analysis of diverse data
JF  - ASEG Extended Abstracts
JO  - ASEG Extended Abstracts
Y1  - 2004
VL  - 2004
IS  - 1
SP  - 1
EP  - 4
KW  - 
UR  - https://doi.org/10.1071/ASEG2004AB031 
N2  - 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. 
ER  -

