Clustering

I have used Iris flower dataset file. The file Iris.csv consists of 150, 4-dimensional data which includes 50 samples from each of the three species of Iris (Iris setose, Iris virginica and Iris versicolor). Column 1 to 4 of the given file are the four features (attributes) that were measured from each sample: the length and the width of the sepals and petals (in centimetres) respectively. Column 5 is the class label (species name) associated with each of the samples of Iris flower. In this repository, I have used K-Means, GMM and DBSCAN to cluster Iris flower dataset and analyzed which one works better.