An application analysis method based on Clustering

Abstract Depending upon the load intensity and time variation information, we established indicator system to analyze of commercial halls, so that further optimization actions can be taken in practical application scenarios. The representative clustering algorithms including k-means AC algorithm are chosen for comparative analysis, on this basis, an enhanced is put forward study because traditional method sensitive initial centroids lacks stability. A series experiments performed work, experimental findings reveal validity proposed method. It provides a new idea efficiency analysis halls.