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Topic: "centroid-based-clustering"

semoglou/ksil

A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

DimFragk/Centroid-clustering-app

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

Language: Python - Size: 260 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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

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

Language: C++ - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Related Topics
k-means-clustering 3 silhouette-score 2 k-means 2 weighted-clustering-algorithm 1 approximation-algorithms 1 hypercube 1 locality-sensitive-hashing 1 calinski-harabaz-score 1 clustering-analysis 1 clustering-evaluation 1 clustering-validation 1 clustering-visualisation 1 fasterpam 1 k-medoids 1 k-medoids-clustering 1 kmedoids 1 pam 1 unsupervised-learning 1 structure-learning 1 silhouette-analysis 1 silhouette 1 sampling 1 pattern-discovery 1 pattern-detection 1 partitioning 1 instance-weighting 1 data-segmentation 1 data-clustering 1 clustering-algorithm 1 clustering 1