Application of locally linear embedding algorithm on hotel data text classification

As a non-linear dimension reduction method, manifold learning algorithm projects high-dimensional input to a low-dimensional space by maintaining the local structure of the data, and discovers the inherent geometric structure hidden in the data. In this paper, we attempt to apply the manifold learni...

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Vydané v:	Journal of physics. Conference series Ročník 1634; číslo 1; s. 12014 - 12019
Hlavný autor:	Huang, Jinming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.09.2020
Predmet:	Algorithms Classification Embedding Hotels & motels Machine learning Manifolds (mathematics) Physics Text categorization
ISSN:	1742-6588, 1742-6596
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