3 papers
cs.LG2025
GCAO: Group-driven Clustering via Gravitational Attraction and Optimization
Qi Li, Jun Wang
Traditional clustering algorithms often struggle with high-dimensional and non-uniformly distributed data, where low-density boundary samples are easily disturbed by neighboring cl…
cs.LG2025
How to optimize K-means?
Qi Li
Center-based clustering algorithms (e.g., K-means) are popular for clustering tasks, but they usually struggle to achieve high accuracy on complex datasets. We believe the main rea…
cs.LG2025
Feature Explosion: a generic optimization strategy for outlier detection algorithms
Qi Li
Outlier detection tasks aim at discovering potential issues or opportunities and are widely used in cybersecurity, financial security, industrial inspection, etc. To date, thousand…