Course projects of Fundamentals of Computational Intelligence @ FUM, Spring 2022
- First Project: Clustering ORL dataset using K-Means, DBSCAN and three Agglomerative(Hierarchical) clustering methods.
- Second Project: Utilizing kernel trick using Nystroem kernel approximation method with simple Perceptron to classify non-linear flight data.
- Final Project: A new clustring approach to cluster sentences about different subjects including Pyhisics, Chemistry and Biology, processed with Word2Vec.