GitHub

HDT Sampling (Hierarchical Dart Throwing)

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...
IEEE

STICA: Spanning-Tree-Based Identification of Clusters With Agglomeration for Numerical Data

Abstract: Clustering is an unsupervised method used to group data points based on their similarity. It has many applications in data mining and preprocessing. Algorithms used for arbitrarily shaped ...
IEEE

Condition-Based Maintenance Scheduling Using Probability Distribution Function and Agglomerative Hierarchical Clustering Approaches: AI-Driven Predictive Maintenance Mapping

Abstract: Advanced industries such as wind turbines aim for condition-based maintenance (CBM) to enhance system availability and reach higher revenue. Hence, decision making plays an essential role in ...
AppleInsider

AI calculations on Mac cluster get big boosts from new RDMA support on Thunderbolt 5

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...