The deployment of Space requires a Linux/Unix machine with GPU. We recommend using conda/mamba and create a virtual environment to manage all the dependencies. If you ...

Traditional portfolio management relies on static allocations and reactive rebalancing. AlphaEdge flips this paradigm by implementing a fully automated, AI-driven investment strategy that: ...

Abstract: K-means clustering is a widely used unsupervised learning algorithm for partitioning data into distinct clusters. However, the performance of k-means heavily depends on the initial cluster ...

Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...

This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...