GitHub / Quantum-Software-Development / 11-DataMining_Affinity_Propagation_Algorithm
👩🏻🚀 11-Data Miining -Affinity Propagation Algorithm - This repo shows how Affinity Propagation performs unsupervised clustering by finding exemplars automatically — no need to set the number of clusters like K-Means. It uses message passing between data points and includes code, K-Means comparison and Silhouette Score evaluation
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PURL: pkg:github/Quantum-Software-Development/11-DataMining_Affinity_Propagation_Algorithm
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 6.95 MB
Dependencies parsed at: Pending
Created at: about 1 month ago
Updated at: 13 days ago
Pushed at: 13 days ago
Last synced at: 13 days ago
Topics: affinity-propagation-clustering, correlation-matrix, machine-learning, negative-correlation, positive-correlation, silhouette-score, unsupervised-learning
Funding Links https://github.com/sponsors/Quantum-Software-Development, https://github.com/sponsors/Quantum-Software-Development/card