Similarity Measures;
Machine Learning and Predictive Analytics [ELE 364];
The Nearest Neighbor Algorithm;
Caveats on Similarity Learning;
Handling Noisy Data in Nearest Neighbors;
The Case for Range Normalization;
Predicting Continuous Targets Using NN;
Other Measures of Similarity in NN;
The Curse of Dimensionality and Feature Selection;