A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Nadiya Straton
This paper analyzes engagement with stigmatized sentiment in COVID and general vaccine discourse on social media using LIWC and clustering.
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, et al.
Presents a simple and efficient kd-tree-based filtering algorithm for Lloyd's k-means clustering with data-sensitive runtime analysis and empirical validation.
Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn
This paper provides a comprehensive overview of clustering methods from a statistical pattern recognition perspective, offering a taxonomy and practical guidance for practitioners.
Unknown
CLIMB automates optimal data mixture discovery for language model pre-training via clustering and iterative bootstrapping.
Kristina P. Sinaga, Miin‐Shen Yang
Proposes an unsupervised k-means (U-k-means) algorithm that automatically finds the optimal number of clusters without initialization or parameter selection.