GitHub

Reconciling Multiple Spatial Domain Identification Algorithms via Consensus Clustering

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 ...
GitHub

SORADATA/CAC40-Quantitative-Analysis-Predictive-Asset-Allocation

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

Optimisation Research on K-Means Clustering Algorithm Based on Principal Component Analysis and Percentile Improvement

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 ...
SciELO

Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran

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 ...
IEEE

Adaptive Semi-Supervised Fuzzy C-Means Method With Local Spatial Information and Pre-Clustering for Image Segmentation

Abstract: The semi-supervised fuzzy C-means clustering algorithm is an improved version of the fuzzy C-means algorithm, designed to utilize a small amount of supervised information to enhance the ...