Changlin Wan

Title: Innovations by Changlin Wan

Introduction

Changlin Wan is a notable inventor based in Guangdong, China. He has made significant contributions to the field of data clustering, showcasing his expertise through his innovative patent.

Latest Patents

Changlin Wan holds a patent for a "Data clustering method and apparatus based on k-nearest neighbor and computer readable storage medium." This patent presents a novel approach to data clustering by sorting data points based on the maximum radiuses of K-nearest neighbors. The method allows for the incorporation of statistically similar data points into the same cluster without the need to preset the number of clusters or know the probability distribution of the data. This innovation enhances the convenience of setting parameters and improves the efficiency of data clustering.

Career Highlights

Changlin Wan is affiliated with Huizhou University, where he continues to advance his research and development in data clustering techniques. His work has garnered attention for its practical applications in various fields.

Collaborations

Changlin Wan collaborates with esteemed colleagues, including Jinqiu Huang and Deming Xu, contributing to a dynamic research environment that fosters innovation.

Conclusion

Changlin Wan's contributions to data clustering through his innovative patent reflect his commitment to advancing technology in this field. His work continues to influence the way data is processed and analyzed, showcasing the importance of innovation in modern research.