Applying SOM Cluster Analysis with Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia - Code (1.0)

The software (version 1.0.0) associated with the manuscript "Applying SOM Cluster Analysis with Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia" for the calculation and storage of PSDs is licensed under MIT and published on GitHub. MultiStepLithologyCluster is a geospatial data analysis tool that applies a modified Self-Organising Map (SOM) algorithm combined with an iterative multi-step clustering process to classify lithological units. It uses multi-modal geophysical survey data—including magnetic, radiometric, and gravity datasets with various signal enhancements—to improve geological interpretation and unit delineation, particularly in areas with limited surface exposure.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-24
DOI
https://doi.org/10.5281/zenodo.15502075
Citations
1
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
1.82
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article

Applying SOM Cluster Analysis with Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia - Code (1.0)

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Genetic diversity and population structure
1.82
article

Applying SOM Cluster Analysis with Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia - Code (1.0)

article en
1 citations

Abstract

The software (version 1.0.0) associated with the manuscript "Applying SOM Cluster Analysis with Iterative Refinement to Infer Lithology Units in Eastern Victoria, Australia" for the calculation and storage of PSDs is licensed under MIT and published on GitHub. MultiStepLithologyCluster is a geospatial data analysis tool that applies a modified Self-Organising Map (SOM) algorithm combined with an iterative multi-step clustering process to classify lithological units. It uses multi-modal geophysical survey data—including magnetic, radiometric, and gravity datasets with various signal enhancements—to improve geological interpretation and unit delineation, particularly in areas with limited surface exposure.

Zenodo (CERN European Organization for Nuclear Research)
Geological Survey of Finland (FI), The University of Melbourne (AU)
Openalex Percentile: Top 10%
Genetic diversity and population structure
1.82
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