An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
Felix P. KemethSindre W. HauglandFelix DietrichTom BertalanKevin HöhleinQianxiao LiErik M. BolltRonen TalmonKatharina KrischerIoannis G. KevrekidisPublished in: IEEE Access (2018)
Keyphrases
- manifold learning
- distributed data
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- real world
- low dimensional manifolds
- high dimensional
- embedding space
- intrinsic manifold
- databases
- laplacian eigenmaps
- latent space
- dimension reduction
- multi dimensional
- pairwise
- data structure