A robust automatic clustering algorithm for probability density functions with application to categorizing color images

作者：Chen J H; Chang Y C; Hung W L^*

来源：Communications in Statistics - Simulation and Computation, 2018, 47(7): 2152-2168.

DOI：10.1080/03610918.2017.1337137

• Clustering algorithms
• COREL image database
• Kernel density method
• Probability density function

This study develops a robust automatic algorithm for clustering probability density functions based on the previous research. Unlike other existing methods that often pre-determine the number of clusters, this method can self-organize data groups based on the original data structure. The proposed clustering method is also robust in regards to noise. Three examples of synthetic data and a real-world COREL dataset are utilized to illustrate the accurateness and effectiveness of the proposed approach.

• 出版日期2018
• 单位清华大学