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doi.org/10.1016/j.neucom.2022.05.119
Enhance explainability of manifold learning
Henry Han
18
,
Wentian Li
47
,
...,
Xianya Qin
16
View all 5 authors
Neurocomputing
6.50
Volume: 500, Pages: 877 - 895
Published
: Jun 2, 2022
53
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Paper Fields
Pattern recognition (psychology)
Pure mathematics
Isomap
Intrinsic dimension
Dimension (graph theory)
Mathematics
Manifold (fluid mechanics)
Algorithm
Euclidean distance
Curse of dimensionality
Nonlinear dimensionality reduction
Engineering
Manifold alignment
Artificial intelligence
Data point
Topological data analysis
Interpretability
Computer science
Dimensionality reduction
Embedding
Mechanical engineering
Paper Details
Title
Enhance explainability of manifold learning
DOI
doi.org/10.1016/j.neucom.2022.05.119
Published Date
Jun 2, 2022
Journal
Neurocomputing
Volume
500
Pages
877 - 895
Notes
History
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