Test script that performs K-Means clustering of given data set using Python without using frameworks

• Python modules: numpy, random, pandas, time
• Python version: 3.7.4

Inputs required:

• data_set: Input data set in given format as demonstrated in the code
• k_value: No of clusters needed
• precision: The precision with which calculations have to be made

KMeansClustering.py is a single script which runs the clustering
Clustering.py is the same script written as a class and can be called with from Clustering import KMeans
test.py is an implementation of the algorithm using the class on the Iris Dataset

• Code is slow for huge data sets. Need to optimize.
• Need to compare with same data set run on frame work such scikitlearn and compare the results