A Riemannian geometric framework for manifold learning of non-Euclidean data.

Cheongjae Jang Yung-Kyun Noh Frank Chongwoo Park

Published in: Adv. Data Anal. Classif. (2021)

Keyphrases

manifold learning
riemannian manifolds
data sets
intrinsic manifold
high dimensional data
data analysis
manifold structure
dimensionality reduction
signal processing
neural network
pattern recognition
data mining techniques
input data
spectral clustering
diffusion maps