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https://github.com/andrewwango/femda
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
https://github.com/andrewwango/femda
20newsgroup classification discriminant-analysis em-algorithm fashion-mnist linear-discriminant-analysis machine-learning quadratic-discriminant-analysis robust-estimation robust-statistics
Last synced: about 1 month ago
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FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
- Host: GitHub
- URL: https://github.com/andrewwango/femda
- Owner: Andrewwango
- License: mit
- Created: 2021-03-22T09:43:04.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-06T13:17:59.000Z (over 2 years ago)
- Last Synced: 2024-04-16T22:24:32.687Z (9 months ago)
- Topics: 20newsgroup, classification, discriminant-analysis, em-algorithm, fashion-mnist, linear-discriminant-analysis, machine-learning, quadratic-discriminant-analysis, robust-estimation, robust-statistics
- Language: Python
- Homepage:
- Size: 16.6 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0