Manifold learning based on kernel density estimation

The problem of unknown high-dimensional density estimation has been considered. It has been suggested that the support of its measure is a low-dimensional data manifold. This problem arises in many data mining tasks. The paper proposes a new geometrically motivated solution to the problem in the fra...

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Bibliographic Details
Main Authors: A.P. Kuleshov, A.V. Bernstein, Yu.A. Yanovich
Format: Article
Language:English
Published: Kazan Federal University 2018-06-01
Series:Учёные записки Казанского университета: Серия Физико-математические науки
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Online Access:https://kpfu.ru/manifold-learning-based-on-kernel-density-403653.html
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