Unsupervised Learning

Unsupervised Learning

Unsupervised learning refers to the type of Machine Learning that draws inferences from the dataset that is not labeled. This contrasts with supervised learning where we dealt with labeled datasets.

Types of Unsupervised learning

1. Unsupervised learning helps us identify patterns in the dataset. Data clustering is one of the techniques of unsupervised learning, where elements in a single cluster have the same properties and are assigned the same label. Some of the most famous clustering algorithms include

• KMeans Clustering

• Hierarchical Clustering

• DBSCAN Clustering.