An automatic clustering algorithm inspired by membrane computing

作者：Peng Hong^*; Wang Jun; Shi Peng; Riscos Nunez Agustin; Perez Jimenez Mario J

来源：Pattern Recognition Letters, 2015, 68: 34-40.

DOI：10.1016/j.patrec.2015.08.008

• Membrane computing
• Membrane systems
• Tissue-like membrane systems
• Automatic clustering
• Membrane clustering algorithm

Membrane computing is a class of distributed parallel computing models. Inspired from the structure and inherent mechanism of membrane computing, a membrane clustering algorithm is proposed to deal with automatic clustering problem, in which a tissue-like membrane system with fully connected structure is designed as its computing framework. Moreover, based On its special structure and inherent mechanism, an improved velocity-position model is developed as evolution rules. Under the control of evolution-communication mechanism, the tissue-like membrane system cannot only find the most appropriate number of clusters but else determine a good clustering partitioning for a data set. Six benchmark data sets are used to evaluate the proposed membrane clustering algorithm. Experiment results show that the proposed algorithm is superior or competitive to three state-and-the-art automatic clustering algorithms recently reported in the literature.

• 出版日期2015-12-15
• 单位西华大学