Cluster analysis is a method of studying ‘objects to gather’ in mathematical statistics, that is, a group of individuals who are known to study will be divided into several types according to indicators (variables) before analyzing. For example, in the study of coronary heart disease, k observation indicators of n patients were observed, and cluster analysis was used to analyze which type of n patients belonged to, and similar patients could take similar treatment measures; it can also classify indicators to identify indicators that describe different aspects of the patient’s condition and help doctors better understand the patient’s condition. The basic goal of cluster analysis is to look for natural categories of samples or variables. Clustering of samples is called Q-type clustering, and the purpose is to find commonality between samples. The clustering of variables is called R-type clustering, and its purpose is to reduce the dimension of the index so as to select a representative index. Cluster Analysis https://www.cd-biosciences.com/cluster-analysis/