Analysis of Five Clustering Algorithms in Quantitative Method Research

Abstract

In the course of research using quantitative methods, cluster analysis is often used for scientific research. However, we often face some complicated clustering algorithms during the analysis process. Choosing the right clustering algorithm is a very necessary research issue. Therefore, based on the characteristics of adjacency matrix data, we analyze the commonly used clustering algorithms in scientometrics. Firstly, we analyze the procedure of clustering. Then, the characteristics of several common clustering algorithms are summarized. Third, based on the validity and correctness of clustering, the effect of clustering algorithms are discussed. Finally, we implement the algorithm by MATLAB, and make an empirical analysis of three data sets cases. According to the characteristics of clustering algorithm, the correctness of clustering and the validity of clustering, we choose the clustering algorithm suitable for our use.