# Iris Data Classification
Implementation of K-Nearest neighbors algorithm from scratch on Iris dataset (https://archive.ics.uci.edu/ml/datasets/iris)
Problem statement:
β’ In this implementation, you need to make it in an opposite way: the training data is labeled as D and start with Dk = D, during each iteration, remove the data point which has the farthest distance from the query point until Dk has k points left.
β’ Implement a heap to make it faster for the search.
