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A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph.
Tao Yang
Dongmei Fu
Jintao Meng
Marcin Mrugalski
Published in:
Complex. (2020)
Keyphrases
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noisy data
spectral graph
theoretic framework
high dimensional
training data
noise free
learning from noisy data
machine learning
noise tolerant
intrinsic dimensionality
graph partitioning
high dimensionality
missing values
random walk
input data
dimensionality reduction
probabilistic model
pairwise