shamimtowhid/Implementing-K-Means-Clustering

the objective of this experiment is to understand one of the very popular clustering algorithm known as K-Means clustering algorithm. This is an unsupervised learning method which means the class label is unknown here. But to measure the performance of the algorithm we need to know the ground truth. Here in this experiment we will use cluster purity as performance measure of the classifier. Here we use the dataset that has 150 data with four dimension each. We will cluster the whole dataset into three cluster here, so in our experiment k=3.