Abstract: Lithology identification serves as a crucial foundation for the precise exploration and safe exploitation of geological resources. However, challenges arise from the inherent imbalance and ...

This script is based upon the Fast Clustering algorithm and uses models which have been pre-trained at scale on large amounts of data. This makes it easy to compute the semantic relationships ...

Mostly we perform clustering when the analysis is required to extract the information of an interesting pattern or the field, for example, extracting similar user behaviour in a customer database.

This is a python implementation of the Bayesian Hierarchical Clustering algorithm proposed by Heller & Ghahramani (2005). HELLER, Katherine A.; GHAHRAMANI, Zoubin. Bayesian hierarchical clustering. In ...

This is a simplified C++ interface to the fast implementations of hierarchical clustering by Daniel Müllner. The original library with interfaces to R and Python can be found on danifold.net and is ...