Abstract

Unsupervised learning is a complex processing task involving the identification of patterns in datasets having data points that are neither labeled nor classified. Unsupervised learning is a kind of machine learning algorithm that can be used to draw useful conclusions without the presence of labeled responses in the input data. In the following chapter, we will discuss Clustering (K-means Clustering, Hierarchical Clustering), and Principal Component Analysis.