A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.
clustering sampling silhouette partitioning k-means unsupervised-learning data-clustering clustering-algorithm structure-learning pattern-discovery weighted-clustering-algorithm k-means-clustering pattern-detection silhouette-score data-segmentation instance-weighting silhouette-analysis centroid-based-clustering
-
Updated
May 20, 2025 - Jupyter Notebook