New method to determine topology of low-dimension manifold approximating multidimensional data sets
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URI (for links/citations):
https://elib.sfu-kras.ru/handle/2311/71623https://elib.sfu-kras.ru/handle/2311/110705
Date:
2018-08Journal Name:
Журнал СФУJournal Quartile in Scopus:
Q3Bibliographic Citation:
Садовский, Михаил Георгиевич. New method to determine topology of low-dimension manifold approximating multidimensional data sets [Текст] / Михаил Георгиевич Садовский, Анатолий Николаевич Остыловский // Журнал СФУ: Математика и физика. — 2018. — Т. 11 (№ 3). — С. 322-328Abstract:
New method is proposed to identify topology of a low-dimensional manifold approximating multidimensional datasets. The method is based on the implementation of the compliment for the discrete set of data. Some essential properties and constraints of the method are discussed.