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GitHub / agrawal-priyank / machine-learning-clustering-retrieval

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agrawal-priyank%2Fmachine-learning-clustering-retrieval
PURL: pkg:github/agrawal-priyank/machine-learning-clustering-retrieval

Stars: 18
Forks: 7
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 127 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: about 1 year ago
Pushed at: over 7 years ago
Last synced at: about 1 month ago

Topics: expectation-maximization, gibbs-sampling, kd-trees, kmeans, locality-sensitive-hashing, machine-learning, machine-learning-clustering, nearest-neighbor-search, python, retrieval, unsupervised-machine-learning

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