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dc.contributor.author Mironova Y.N.
dc.date.accessioned 2021-02-25T06:55:04Z
dc.date.available 2021-02-25T06:55:04Z
dc.date.issued 2020
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/161510
dc.description.abstract © 2020 IEEE. this paper discusses current issues of applying new mathematical methods for clustering, which is necessary in modeling and visualization of data in geographic information systems. For this purpose, it is proposed to use the methods of traditional General topology and fuzzy sets. Real phenomena are described by many interrelated attributes. The ways of such interaction are unpredictable, so there is a need to apply the concept of fuzziness to the received information in solving problems of classification of geoinformation objects, in particular, aerospace images.
dc.subject classification
dc.subject display
dc.subject fuzzy set
dc.subject prototype
dc.subject recognition
dc.subject star
dc.subject tube
dc.title Mathematical Methods in Geoinformatics
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2020-SID85098913662


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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