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An automatic clustering algorithm inspired by membrane computing
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DOI：10.1016/j.patrec.2015.08.008.png)
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Abstract
En 中文
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. (C) 2015 Elsevier B.V. All rights reserved.
Keywords:
Membrane computing
Membrane systems
Tissue-like membrane systems
Automatic clustering
Membrane clustering algorithm
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