کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536212 | 870482 | 2015 | 7 صفحه PDF | دانلود رایگان |
• We develop a membrane clustering algorithm to deal with automatic clustering problem.
• We design a tissue-like membrane system with fully connected structure.
• We develop an improved velocity-position model.
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.
Journal: Pattern Recognition Letters - Volume 68, Part 1, 15 December 2015, Pages 34–40