Biography
Prof. Xinquan Chen
Prof. Xinquan Chen
Anhui Polytechnic University, China
Title: An effective multi-level synchronization clustering method based on a linear weighted Vicsek model
Abstract: 
To conquer the shortcoming that general clustering methods cannot process big data in the main memory, this paper presents an effective multi-level synchronization clustering (MLSynC) method by using a framework of “divide and collect” and a linear weighted Vicsek model. We also introduce two concrete implementations of MLSynC method, a two-level framework algorithm and a recursive algorithm. MLSynC method has a different process with SynC algorithm, ESynC algorithm and SSynC algorithm. By the theoretic analysis, we find the time complexity of MLSynC method is less than SSynC. Simulation and experimental study on multi-kinds of data sets validate that MLSynC method not only gets better local synchronization effect but also needs less iterative times and time cost than SynC algorithm. Moreover, we observe that MLSynC method not only needs less time cost than ESynC and SSynC, but also almost gets the same local synchronization effect as ESynC and SSynC if the partition of the data set is proper. Further comparison experiments with some classical clustering algorithms demonstrate the clustering effect of MLSynC method.
Biography: 
Xinquan Chen is a professor and master supervisor of the School of Computer & Information, Anhui Polytechnic University, Wuhu, Anhui, PR China. He received the Ph.D degree from South China University of Technology in 2007 and the post-doctorate career from University of Electronic Science and Technology of China in 2016. He is a member of System Simulation & Simulation Technology Application Committee, Editorial Board Member of Journal of Anhui Polytechnic University, CCF Member. His research interests include data mining, machine learning, clustering algorithms, and optimization method.
At present, he has presided over the completion of 3 provincial-level scientific research projects and 3 university-level scientific research projects. As the first author, he has published more than 40 academic papers in SCI/EI source journals, CSCD journals and EI conferences. Among them, there are 5 journal articles from CCF recommends international SCI, 11 papers indexed by EI and 8 papers indexed by CSCD. He is a reviewer of multiple international SCI journals.