A Density Peak Clustering Algorithm Based on the K‐Nearest Shannon Entropy and Tissue‐Like P System
Zhenni Jiang, Xiyu Liu, Minghe Sun · Mathematical Problems in Engineering · 2019
This study proposes a novel method to calculate the density of the data points based on K‐nearest neighbors and Shannon entropy. A variant of tissue‐like P systems with active membranes is introduced to realize the clustering process. The new variant of tissue‐like P systems can improve the efficiency of the algorithm and reduce the computation complexity. Finally, experimental results on synthetic and real‐world datasets show that the new method is more effective than the other state‐of‐the‐art clustering methods.