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.
Previous tips can be found under the Software tip category in our News page and in our Archives page. Join our Virtual Lecture series that showcases technological advancements and provides quick tutorials on Geoscience ANALYST features. More details about this series on our Events page or sign-up to the mailing list.
Latest news
Data set summaries
In Geoscience INTEGRATOR The Data set explorer provides simple, immediate ‘dashboard’ access to all the data sets, and their summary information...
New release – Geoscience ANALYST 4.6
Geoscience ANALYST 4.6 brings performance improvements and key new features to all modules. Download it now!
Linking cursors
In Geoscience ANALYST you can use the Link Cursors button to helps to track the location of your cursor across multiple Viewports...
Depth-to-basement inversion using geometry and homogeneous VPmg inversion
Past event - View here or on our YouTube channel...
Québec Mining 2024
Explore the full interview that Scott Napier did for Québec Mining 2024
Getting started with the Python geoh5py
Past event, view here or via our YouTube channel...
New Visual Parameter – Contours
In Geoscience ANALYST you can visualize contours on 2D grids. Select your data, specify the contour parameters, or change the colour.
..
3D seismic data and survey designer tools
Coming soon to Geoscience ANALYST, tools for hard rock seismic...
Reshape using spiderwebs
GOCAD Mining Suite v19 allows you to reshape your surfaces and 2D Grids with a spiderweb editing tool...