Abstract: The membrane computing model, also known as the P system, is a parallel and distributed computing system. K-medoids algorithm is one of the most famous algorithms in partition-based clustering algorithms, and has been widely used in data analysis and modern scientific research. Combining the P system with the k-medoids algorithm, the maximum parallelism calculated by the P system can effectively reduce the time complexity of the k-medoids clustering algorithm. Based on this, this paper proposes a cell-like P system with promoters and inhibitors based on k-medoids clustering, and then an instance is given to illustrate the practicability and effectiveness of the P system designed.

Ping Guo and Jingya Xie, “A P System for K-Medoids-Based Clustering” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091005

@article{Guo2018,
title = {A P System for K-Medoids-Based Clustering},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091005},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091005},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Ping Guo and Jingya Xie}
}