There are two main approaches for clustering unlabeled data: K-Means Clustering and Hierarchical clustering. In K-Means clustering a centroid for each cluster is selected and then data points are assigned to the cluster whose centroid has the smallest distance to data points. On the other hand in hierarchical clustering, the distance between every point is...Read More