Research advance of clustering ensemble algorithm

Cluster ensemble is always a relatively active and challenging research direction in the field of machine learning and pattern recognition. The clustering algorithm has good theoretical basis which is widely used in machine learning, date mining, pattern recognition, imagine analysis and other areas. It becomes an important research in the field of cluster analysis, taking more and more researchers' attention. However, there is rather deficient reference material on clustering research in our country. This paper systematically introduces the generation of clustering algorithm, theoretical research, evaluation methods and the research advance which enables readers get a preliminary understanding to this area.