dc.contributor.author | Wang, Haiyang | |
dc.contributor.author | Huang, Mengxing | |
dc.contributor.author | Wu, Di | |
dc.contributor.author | Wang, Hao | |
dc.contributor.author | ZHU, Miao | |
dc.contributor.author | He, Haotian | |
dc.contributor.author | Kang, Jian | |
dc.date.accessioned | 2019-11-06T14:15:11Z | |
dc.date.available | 2019-11-06T14:15:11Z | |
dc.date.created | 2019-10-19T16:21:47Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9781728114507 | |
dc.identifier.uri | http://hdl.handle.net/11250/2626981 | |
dc.description.abstract | With the further advancement of the research on marine environmental science, more and more attention has been paid to modern data monitoring technology. In order to obtain the current water quality information quickly, this paper combines the advantages of Canopy algorithm and FFCM algorithm, and proposes an improved Canopy-FFCM clustering algorithm. The algorithm firstly uses Canopy algorithm to quickly obtain the best clustering number, and then iterates through FFCM algorithm. Multiple simulations of the sample were performed by using the FCM algorithm, the FFCM algorithm, and the improved Canopy-FFCM algorithm, the experimental results show that compared with the traditional algorithm, the improved algorithm effectively reduces the time required for the analysis process and has good application value. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | Proceedings of OCEANS 2019 - Marseille | |
dc.title | An improved Canopy-FFCM clustering algorithm for ocean data analysis | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.doi | 10.1109/OCEANSE.2019.8867386 | |
dc.identifier.cristin | 1738631 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |