GitHub / semoglou / ksil
A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/semoglou%2Fksil
PURL: pkg:github/semoglou/ksil
Stars: 3
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 4.28 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: about 1 month ago
Pushed at: about 2 months ago
Last synced at: 12 days ago
Topics: centroid-based-clustering, clustering, clustering-algorithm, data-clustering, data-segmentation, instance-weighting, k-means, k-means-clustering, partitioning, pattern-detection, pattern-discovery, sampling, silhouette, silhouette-analysis, silhouette-score, structure-learning, unsupervised-learning, weighted-clustering-algorithm