In Geoscience ANALYST Pro’s version 3.3, you can quickly partition your data based on the K-means clustering algorithm. This simple, yet powerful algorithm allows you to take a data science approach to group data into a specified number of clusters.
In this example, geochemistry surface samples are split into 6 clusters according to their K2O%, SiO2%, TiO2%, and Zr_ppm values.
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Latest news
New clustering application in geoapps
geoapps - Exploratory Data Analysis (EDA), rock classification generation, or map alteration footprints
Themes
Geoscience INTEGRATOR v3.5 and Geoscience ANALYST v3.2 include new themes and renamed ones to help you to locate data in a more intuitive way.
Attending AME Roundup 2026?
Visit us at booth 416 to see our software solutions in action and discuss your needs with our expert team!
Q&A: Revival Gold Inc.
We discussed Mira Geoscience’s contribution to further understand the Beartrack-Arnett gold project area using modern exploration techniques...
Data display precision
In Geoscience ANALYST Data Colours panel you can control the precision of the data...
Finding data sets by tags and neighbourhoods
In Geoscience INTEGRATOR, you can can lookup data sets by the tags they carry and the neighbourhoods they cover...
Peak finder – Geoscience ANALYST geoapps: Python application
Past event. Link to recording available here.
Monitoring folders
Geoscience INTEGRATOR's monitoring folders can be used to automatically import files to a project to save time and streamline regular updates.
Bounding boxes in the viewer
Coloured bounding boxes are used to highlight volumes in the Viewport: A purple box surrounds your current selection...