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.
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PURL: pkg:github/karan-sutariya/Data-Clustering-using-K-Means-EM-algorithms
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Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 1.37 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: data-clustering, expectation-maximization-algorithm, gaussian-mixture-models, k-means-clustering, unsupervised-machine-learning