Cluster analysis involves grouping similar objects together to form clusters. These clusters consist of objects of the same type and are created using unsupervised machine learning algorithms. The properties of cluster analysis include clustering scalability, which allows for forming clusters regardless of the size of the data, and algorithm usability with multiple types of data, such as grouped, discrete, continuous, images, videos, or text.