Feature-aware ultra-low dimensional reduction of real networks.
Robert JankowskiPegah HozhabrierdiMarián BoguñáM. Ángeles SerranoPublished in: CoRR (2024)
Keyphrases
- low dimensional
- high dimensional
- feature representation
- dimensionality reduction
- manifold learning
- feature vectors
- high dimensional data
- euclidean space
- input space
- principal component analysis
- high speed
- low dimensionality
- dimension reduction
- vector space
- image features
- image processing
- machine learning
- neural network