Computational intelligence projects (Datasets - Iris, MNIST):

1. Multi-class Classification:

• PCA with Support Vector Classifier
• PCA with K-Nearest Neighbors
• PCA with Nearest Class Centroid

2. Dimensionality reduction :

• KPCA + LDA with Support Vector Classifier
• KPCA + LDA with K-Nearest Neighbors
• KPCA + LDA with Nearest Class Centroid

3. Clustering :

• LLE + Spectral Clustering
• Data visualization (Clusters' centers - Voronoi regions)