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centroid-based-clustering

Here are 3 public repositories matching this topic...

semoglou / ksil

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 Sep 24, 2025
Jupyter Notebook

super-m-a-n / LSH-Hashing-and-Centroid-Based-Clustering

approximation algorithms for exact nearest neighbors search and clustering on multi-dimensional vectors

locality-sensitive-hashing hypercube k-means-clustering approximation-algorithms randomized-projection centroid-based-clustering

Updated May 28, 2023
C++

DimFragk / Centroid-clustering-app

Selection of the best centroid based clustering version with k-medoids and k-means

pam k-means clustering-evaluation k-medoids clustering-validation k-means-clustering kmedoids clustering-analysis calinski-harabaz-score k-medoids-clustering clustering-visualisation silhouette-score fasterpam centroid-based-clustering

Updated Jan 10, 2025
Python

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