OBJECTIVE-Clustering of Iris Dataset
From the given βIrisβ dataset, predict the optimum number of clusters and represent it visually.
ALGORITHM USED - K-Means
K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to assign a point to a cluster. In K-Means, each cluster is associated with a centroid.