Cluster analysis is the process of finding similar groups of objects and grouping them together to form clusters. These clusters consist of objects of the same type and are part of unsupervised machine learning algorithms. Properties of cluster analysis include clustering scalability, which allows forming clusters regardless of the data size, and algorithm usability with multiple types of data like grouped data, discrete data, continuous data, images, videos, or text.