Unsupervised Learning: How Machines Learn on Their Own

Exclusive clustering: As the name suggests, exclusive clustering specifies that a data point or object can exist only in one cluster. Hierarchical clustering: Hierarchical tries to create a hierarchy of clusters. There are two types of hierarchical clustering: agglomerative and divisive. Agglomerative follows the bottom-up approach, initially treats each data point as an individual cluster, and the pairs of clusters are merged as they move up the hierarchy. Divisive is the very opposite of agglomerative.