A New Approach in Cluster Analysis
| dc.contributor.author | Sineglazov, V.M. | |
| dc.contributor.author | Chumachenko, O.I. | |
| dc.contributor.author | Gorbatiuk, V.S. | |
| dc.date.accessioned | 2018-09-19T05:28:25Z | |
| dc.date.available | 2018-09-19T05:28:25Z | |
| dc.date.issued | 2017-10 | |
| dc.description.abstract | A new clustering approach that is capable of finding clusters that are separated by some complex hypersurface is proposed. The approach can be useful for performing analysis of big amounts of unlabeled images that can be nowadays easily gathered, in particular by using unmanned aerial vehicle with mounted cameras. The approach is based on “softening” the initial clustering criterion and then using nonlinear optimization to find the optimal hypersurface that separates clusters. | uk_UA |
| dc.identifier.isbn | 978-1-5386-1816-5 | |
| dc.identifier.other | IEEE Catalog Number: CFP1729V-PRT | |
| dc.identifier.uri | http://er.nau.edu.ua/handle/NAU/36103 | |
| dc.publisher | Kyiv, “Osvita Ukrainy” | uk_UA |
| dc.relation.ispartofseries | IEEE 4th International Conference;October 17-19, 2017, Kyiv, Ukraine | |
| dc.relation.ispartofseries | “Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);223-226 | |
| dc.speciality | UAV Equipment | uk_UA |
| dc.subject | unmanned aerial vehicle | uk_UA |
| dc.subject | soft clusterin | uk_UA |
| dc.subject | nonlinear optimization | uk_UA |
| dc.subject | artificial neural networks | uk_UA |
| dc.title | A New Approach in Cluster Analysis | uk_UA |
| dc.type | Technical Report | uk_UA |