| dc.contributor.author | Topal, Selcuk | |
| dc.contributor.author | Tas, Ferhat | |
| dc.contributor.author | Smarandache, Florentin | |
| dc.date.accessioned | 2021-03-06T07:54:05Z | |
| dc.date.available | 2021-03-06T07:54:05Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Tas F., Topal S., Smarandache F., "Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces", SYMMETRY-BASEL, cilt.10, 2018 | |
| dc.identifier.issn | 2073-8994 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_de67550e-17b5-407d-9795-a4cd3396230e | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/146537 | |
| dc.identifier.uri | https://doi.org/10.3390/sym10100430 | |
| dc.description.abstract | In this paper, we define the neutrosophic valued (and generalized or G) metric spaces for the first time. Besides, we newly determine a mathematical model for clustering the neutrosophic big data sets using G-metric. Furthermore, relative weighted neutrosophic-valued distance and weighted cohesion measure, is defined for neutrosophic big data set. We offer a very practical method for data analysis of neutrosophic big data although neutrosophic data type (neutrosophic big data) are in massive and detailed form when compared with other data types. | |
| dc.language.iso | eng | |
| dc.subject | Temel Bilimler | |
| dc.subject | ÇOK DİSİPLİNLİ BİLİMLER | |
| dc.subject | Doğa Bilimleri Genel | |
| dc.subject | Temel Bilimler (SCI) | |
| dc.title | Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces | |
| dc.type | Makale | |
| dc.relation.journal | SYMMETRY-BASEL | |
| dc.contributor.department | Bitlis Eren Üniversitesi , , | |
| dc.identifier.volume | 10 | |
| dc.identifier.issue | 10 | |
| dc.contributor.firstauthorID | 83708 | |
