Q.1 Given a supervised dataset with two dimensions. Apply a suitable dimensionality 6 M reduction technique and calculate the new discriminant values of all the points with respect to cluster -1. Calculate in a step by step fashion Dimension 1 0.5 1 1 -0.5 -0.5 -1 Dimension 2 Class Label 0.5 CLUSTER 1 1 CLUSTER 1 0.5 CLUSTER 1 -0.5 CLUSTER 2 -1 CLUSTER 2 -1 CLUSTER 2 Q.1 Given a supervised dataset with two dimensions. Apply a suitable dimensionality 6 M reduction technique and calculate the new discriminant values of all the points with respect to cluster -1. Calculate in a step by step fashion Dimension 1 0.5 1 1 -0.5 -0.5 -1 Dimension 2 Class Label 0.5 CLUSTER 1 1 CLUSTER 1 0.5 CLUSTER 1 -0.5 CLUSTER 2 -1 CLUSTER 2 -1 CLUSTER 2