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Combining global optimization algorithms with adaptive distance and prototype selection algorithms for feature selection and weighting.
Python
Branch: master

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datasets
.gitignore
classification_algorithms.py
data_manager.py
distances.py
global_algorithms.py
k_fold.py
machine.py
prototypes-selection.py
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