VT-ECE Introduction to Machine Learning: HW 1

This competition is private-entry. You can view but not participate. This is the multi-class classification competition for ECE 5424: Introduction to Machine Learning at Virginia TechInstructor: Dr. Stefan Lee You are provided 800 training images (100 images for each class), which are labelled and 1888 testing images, which are not labelled. Your mission, should you chose to accept it (well, you kinda have to!), is to develop a k-NN classifier that predicts the labels for the test dataset. You should consider starting with a vanilla k-NN classifier (k=1, L2-distance), as explained in class. After that, you are allowed to use arbitrary values of k, try to weight the influence of training examples by their distance from the test point, etc. If you want, you also can do arbitrary feature selection,…

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