Part heuristic k-means based on improved grey correlation analysis for infectious analysis

Abstract

It is necessary to build effectiveness infectious disease analysis methodology to avoid a large spreading of the disease. The factors playing role in epidemic come from different domain; moreover, their relationship is complex. Thus, it is very hard to mine the rule by single analysis. In this work, a total review is done to analyze the infected in the unit of years, which can provide a foundation to conclude the infectious rule. In order to finish this goal, Part Heuristic K-means based on Improved Grey Correlation Analysis is proposed. It uses improved grey correlation analysis to recognize the relevance among different diseases which has ability to guide the weight. Then, the year is partitioned into clusters based on distance function. It is found that the proportion of three degrees is respectively 21.4%, 28.6%, and 50%; the maximum of relevance is 0.888.