Bibliometric research on clustering based on Citespace

Artificial intelligence machine learning technology has become a hotspot for academic research. As one of the core topics of machine learning, clustering has penetrated into economic statistics, social media, biomedical and other fields. In order to quantitatively and visually measure and identify the development context and characteristics of cluster analysis, this paper uses Citespace to conduct in-depth analysis of publication quantity analysis, spatial analysis, keyword with the strongest citation analysis, etc. Trend of publication volume of cluster analysis shows a trend of first rising and then falling and the number of publications will peak in 2021. Publication distribution area whose main areas are America, China, and Italy, and Germany, Japan, Poland, Canada, and India have close cooperation. Keywords with the strongest citation bursts shows that" quality of life" has the highest mutation coefficient, and "outcome", "machine learning" have popped up recently. In conclusion, this paper develops an overview of clustering using bibliometrics, providing an innovative idea for research in the field of statistics.