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The code for prototype selection and instance ranking using matrix decomposition and subspace learning

Home Page: https://link.springer.com/chapter/10.1007/978-3-030-18305-9_13

Python 100.00%
prototype-selection instance-ranking matrix-decomposition subspace-learning principal-component-analysis fisher-discriminant-analysis qr-decomposition nmf-decomposition dictionary-learning data-reduction

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Prototype-Selection-Matrix-Decomposition

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

The paper of this code:

Benyamin Ghojogh, Mark Crowley. Instance ranking and numerosity reduction using matrix decomposition and subspace learning. In Canadian Conference on Artificial Intelligence, Springer, Cham, pp. 160-172, 2019.

Link of paper: https://link.springer.com/chapter/10.1007/978-3-030-18305-9_13

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