An automatic clustering algorithm based on data contained ratio

Cluster analysis is an important issue for machine learning and pattern recognition. Clustering algorithm is usually used in solving these problems. A novel automatic clustering algorithm is developed based on data contained ratio. In automatic clustering algorithm which is presented in this paper, the concept of data contained ratio is proposed, the cluster number can be determined automatically based on the data contained ratio, and the relative cluster centers are found similarly Several groups data are used to testify and demonstrate the validity and effectiveness of the cluster algorithm. In addition, the comparison between the traditional K-means cluster algorithm and automatic cluster algorithm is processed. The results demonstrate that the automatic cluster algorithm has high performance in clustering random distribution data set. © 2016, Editorial Board of Journal of Northwestern Polytechnical University. All right reserved.