Applying kNN using R
Quick summary of kNN with main issues of distance measure and number of neighbors
Need of normalization and Standardization
Importing data and library
Example of the user-defined functions for normalization and calculating classification accuracy
Splitting the data into train and test dataset
Fitting the kNN model on training data
Predicting using kNN model on testing data
Finding the optimal value of k and visualization using ggplot2