DB-GNG: A constructive self-organizing map based on density
dc.contributor.author | Ocsa, Alexander | |
dc.contributor.author | Bedregal, Carlos | |
dc.contributor.author | Cuadros Vargas, Ernesto | |
dc.date.accessioned | 2019-01-29T22:19:56Z | |
dc.date.available | 2019-01-29T22:19:56Z | |
dc.date.issued | 2007 | |
dc.description.abstract | Nowadays applications require efficient and fast techniques due to the growing volume of data and its increasing complexity. Recent studies promote the use of Access Methods (AMs) with Self-Organizing Maps (SOMs) for a faster similarity information retrieval. This paper proposes a new constructive SOM based on density, which is also useful for clustering. Our algorithm creates new units based on density of data, producing a better representation of the data space with a less computational cost for a comparable accuracy. It also uses AMs to reduce considerably the Number of Distance Calculations during the training process, outperforming existing constructive SOMs by as much as 89%. ©2007 IEEE. | es_PE |
dc.description.uri | Trabajo académico | es_PE |
dc.identifier.doi | https://doi.org/10.1109/IJCNN.2007.4371257 | es_PE |
dc.identifier.isbn | urn:isbn:9781424413805 | es_PE |
dc.identifier.issn | 10987576 | es_PE |
dc.identifier.uri | https://hdl.handle.net/20.500.12590/15912 | |
dc.language.iso | eng | es_PE |
dc.publisher | Scopus | es_PE |
dc.relation.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-51749101515&doi=10.1109%2fIJCNN.2007.4371257&partnerID=40&md5=e681e70b25105b83958c4c34d37f2e15 | es_PE |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_PE |
dc.source | Repositorio Institucional - UCSP | es_PE |
dc.source | Universidad Católica San Pablo | es_PE |
dc.source | Scopus | es_PE |
dc.subject | Artificial intelligence | es_PE |
dc.subject | Computer networks | es_PE |
dc.subject | Conformal mapping | es_PE |
dc.subject | Information services | es_PE |
dc.subject | Search engines | es_PE |
dc.subject | Joint conference | es_PE |
dc.subject | Self-organizing Maps | es_PE |
dc.subject | Neural networks | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.02.00 | es_PE |
dc.title | DB-GNG: A constructive self-organizing map based on density | es_PE |
dc.type | info:eu-repo/semantics/conferenceObject |