dc.contributor.author | Aman, Ayazhan | |
dc.date.accessioned | 2020-05-13T05:33:03Z | |
dc.date.available | 2020-05-13T05:33:03Z | |
dc.date.issued | 2020-05-12 | |
dc.identifier.citation | Aman, A. (2020). Experimental study of Manifold learning and tangent propagation (Master’s thesis, Nazarbayev University, Nur-Sultan, Kazakhstan). Retrieved from https://nur.nu.edu.kz/handle/123456789/4679 | en_US |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/4679 | |
dc.description.abstract | In many data mining problems dealing with artificially high-dimensional data, can cause a lot of difficulties. This is due to the fact that interpreting a high-dimensional data can be very challenging. There are several ways to avoid that kind of difficulties and one of them is the dimension reduction method. Nowadays, manifold learning approach is widely used in various dimension reduction problems. In this work we propose a new technique of finding data manifold by using auto-encoders. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nazarbayev University School of Sciences and Humanities | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Research Subject Categories::MATHEMATICS | en_US |
dc.title | Experimental study of Manifold learning and tangent propagation | en_US |
dc.type | Master's thesis | en_US |
workflow.import.source | science |
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