dc.creator | Peng, Hong | es |
dc.creator | Wang, Jun | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Riscos Núñez, Agustín | es |
dc.date.accessioned | 2019-03-28T11:25:01Z | |
dc.date.available | 2019-03-28T11:25:01Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Peng, H., Wang, J., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2015). An unsupervised learning algorithm for membrane computing. Information Sciences, 304 (may 2015), 80-91. | |
dc.identifier.issn | 0020-0255 | es |
dc.identifier.uri | https://hdl.handle.net/11441/84854 | |
dc.description.abstract | This paper focuses on the unsupervised learning problem within membrane computing,
and proposes an innovative solution inspired by membrane computing techniques, the
fuzzy membrane clustering algorithm. An evolution–communication P system with nested
membrane structure is the core component of the algorithm. The feasible cluster centers
are represented by means of objects, and three types of membranes are considered: evolution,
local store, and global store. Based on the designed membrane structure and the
inherent communication mechanism, a modified differential evolution mechanism is
developed to evolve the objects in the system. Under the control of the evolution–communication
mechanism of the P system, the proposed fuzzy clustering algorithm achieves
good fuzzy partitioning for a data set. The proposed fuzzy clustering algorithm is compared
to three recently-developed and two classical clustering algorithms for five artificial and
five real-life data sets. | es |
dc.description.sponsorship | National Natural Science Foundation of China No 61170030 | es |
dc.description.sponsorship | National Natural Science Foundation of China No 61472328 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2012025 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2012031 | es |
dc.description.sponsorship | Sichuan Key Technology Research and Development Program No. 2013GZX0155 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Information Sciences, 304 (may 2015), 80-91. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane Computing | es |
dc.subject | P systems | es |
dc.subject | Evolution–communication P system | es |
dc.subject | Unsupervised learning | es |
dc.subject | Data clustering | es |
dc.subject | Fuzzy clustering | es |
dc.title | An unsupervised learning algorithm for membrane computing | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | 61170030 | es |
dc.relation.projectID | 61472328 | es |
dc.relation.projectID | Z2012025 | es |
dc.relation.projectID | Z2012031 | es |
dc.relation.projectID | 2013GZX0155 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0020025515000572 | es |
dc.identifier.doi | 10.1016/j.ins.2015.01.019 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 12 | es |
dc.journaltitle | Information Sciences | es |
dc.publication.volumen | 304 | es |
dc.publication.issue | may 2015 | es |
dc.publication.initialPage | 80 | es |
dc.publication.endPage | 91 | es |
dc.identifier.sisius | 20826786 | es |