k-Nearest Neighbors Classifier

Requirements:

• GNU Octave

The Model:

• k-Nearest Neighbors Classifier using uniform weights.
• Uses L2 norm function to compute distance.
• Selects randomly to break ties.

Source Files:

• knn_classify.m: contains function to train model and predict labels for evaluation dataset.

Instructions:

• Call the knn_classify method with parameters, k, train_data, train_labels, and eval_data.