Change Point Detection Method Study Based On Clustering Analysis

After developed about several decades, statistical process control has became a comprehensive quality control theory, with advanced technique in data handling, but it has to be improved in some technique fields like detect accuracy、new methods and other techniques。I suggest a change point detection methods based on clustering analysis,it could improve the change point detection method by clustering analysis, that is good for improving detect accuracy. This article first state the technique of clustering analysis and detection rules to classify the initial data for change point detection. The detection rules technique in this article describes the characters used in change point detection, it could set the rules for change point detection. In the second, we formulate the characters of the method in change point detection to approve the feasibility of the above technique. In the last, we compare the above technique with two other methods in several fields to approve the advanced function of the technique in this article. The innovation of this article is the comprehensive technique of clustering analysis and detection rules, this comprehensive technique improve the change point detection accuracy, and this is also importance of this article. In the last of this article, we made a conclusion about this technique, it include the merits and feedbacks of this technique, so this conclusion is worth of reference,we also give the future development and some suggestions of this technique.