- Find K nearest neighbours of a point, and classify the point on a majority vote of the neighbour classes
- point Similarity
- use L2 Norm as distance
- larger the dataset, more robust the classifier
- brute force approach
- calculate distance between the new point and every point in the classifier
- computationally expensive