An automatic clustering algorithm inspired by membrane computing
| Autor: | Peng Shi, Hong Peng, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez, Jun Wang |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla. TIC193: Computación Natural |
| Rok vydání: | 2015 |
| Předmět: |
Structure (mathematical logic)
Membrane clustering algorithm Computer science ComputingMethodologies_SIMULATIONANDMODELING Correlation clustering Membrane systems Membrane Computing computer.software_genre Automatic clustering Data set Biclustering ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence Signal Processing Consensus clustering Tissue-like membrane systems Canopy clustering algorithm Computer Vision and Pattern Recognition Data mining Cluster analysis computer Membrane computing Software |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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