We propose a novel algorithm for handling class imbalance in the k-NN classifier. Class imbalance is a problem occurring in some valuable data such as medical diagnosis, fraud detection, oil spills and etc. The problem influences all supervised...

In instance-based classifiers, there is a need for storing a large number of samples as training set. In this work, we propose an instance reduction method based on hyperrectangle clustering, called Instance Reduction ...

measured. Organic carbon percentage and soil texture were also determined for each soil sample at each location. Three different techniques including pattern recognition approach (k nearest neighbour, k-NN), Artificial Neural Network (ANN) and pedotransfer...