Article
An automatic clustering algorithm inspired by membrane computing
Author/s | Peng, Hong
Wang, Jun Shi, Peng Riscos Núñez, Agustín Pérez Jiménez, Mario de Jesús |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2015 |
Deposit Date | 2019-03-28 |
Published in |
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Abstract | 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 ... 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. |
Project ID. | 61170030
61472328 |
Citation | Peng, H., Wang, J., Shi, P., Riscos Núñez, A. y Pérez Jiménez, M.d.J. (2015). An automatic clustering algorithm inspired by membrane computing. Pattern Recognition Letters, 68 (part 1- december 2015), 34-40. |
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