Unsupervised learning is a machine learning method without label information that is different from supervised learning. In this section, we mainly introduce unsupervised learning from the two major modules of the basic concept of unsupervised learning and the basic algorithm of unsupervised learning. The basic concepts are divided into definitions and characteristics, and the basic algorithms consist of clustering, dimensionality reduction, and autoencoders.