After implement baseline model for LR and KNN , we are going to choose the best number of cluster using k-means clustering algorithm as another method using Dimensionality Reduction (DR) methods like PCA for choosing the best number of features. Implement LR and KNN with best number featuers from k-mens and PCA.Choose the best number of neurons for SOM algorithm, using the best features from k-means or best number of PCA.Last thing tune the epsilon (0.3-0.7) and minpoints (2-15) values using DBSCAN.
- LR
- KNN
- k-means
- PCA
- SOM
- DBSCAN
