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GitHub / karan-sutariya / Data-Clustering-using-K-Means-EM-algorithms
This repository implements K-Means clustering on the Old-Faithful dataset, with visualization of clustering iterations and distortion. It also applies K-Means for image compression/segmentation and utilizes the EM algorithm with a Gaussian Mixture Model for classification.
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 1.37 MB
Dependencies:
0
Created: about 1 month ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: data-clustering, expectation-maximization-algorithm, gaussian-mixture-models, k-means-clustering, unsupervised-machine-learning
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