Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
scikit-opt		scikit-opt
src		src
.gitignore		.gitignore
NCML-project_1.ipynb		NCML-project_1.ipynb
NCML-project_2.ipynb		NCML-project_2.ipynb
README.md		README.md
afsa_brain.png		afsa_brain.png
afsa_breast.png		afsa_breast.png
bpso_brain.png		bpso_brain.png
bpso_breast.png		bpso_breast.png
pca_brain.png		pca_brain.png
pca_breast.png		pca_breast.png
pso_brain.png		pso_brain.png
pso_breast.png		pso_breast.png
report.log		report.log
sofm.png		sofm.png
som.png		som.png
tsne_brain.png		tsne_brain.png
tsne_breast.png		tsne_breast.png
tsne_selected_afsa_brain.png		tsne_selected_afsa_brain.png
tsne_selected_afsa_breast.png		tsne_selected_afsa_breast.png
tsne_selected_bpso_brain.png		tsne_selected_bpso_brain.png
tsne_selected_bpso_breast.png		tsne_selected_bpso_breast.png
tsne_selected_pso.png		tsne_selected_pso.png
tsne_selected_pso_brain.png		tsne_selected_pso_brain.png
tsne_selected_pso_breast.png		tsne_selected_pso_breast.png

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NCML

About

We explored the performance and properties of a variety of natural computation methods for machine learning, evaluating them on the application of breast cancer classification.

artificial-fish-swarm-algorithm breast-cancer-classification evolutionary-algorithms genetic-algorithm machine-learning natural-computation particle-swarm-optimization