Open AccessResearch on Weighted Cluster Analysis Method of Panel Data
Author(s) -
Xiqin Ao,
Yiwen Zhang,
Yadong Zhou,
Da Xu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012036
Subject(s) - cluster analysis , data mining , perspective (graphical) , computer science , index (typography) , panel data , cluster (spacecraft) , correlation clustering , cure data clustering algorithm , k medians clustering , mathematics , artificial intelligence , statistics , world wide web , programming language
Panel data is composed of three dimensions: object, index and time, it has no mature clustering algorithm because of its complexity and dynamic data structure. Two clustering methods for multi index panel data are proposed in this paper. These two methods are respectively weighted from the index perspective and time perspective, and on this basis, the two-step clustering method is used for clustering. Then these methods are applied to cluster analysis of regional economy. The empirical results show that these two methods can effectively complete the clustering of the research objects, and have their own emphasis on the feature extraction angle of the panel data.