Scaling Locally Linear Embedding.
Yasuhiro FujiwaraNaoki MarumoMathieu BlondelKoh TakeuchiHideaki KimTomoharu IwataNaonori UedaPublished in: SIGMOD Conference (2017)
Keyphrases
- locally linear embedding
- dimensionality reduction
- manifold learning
- nonlinear dimensionality reduction
- high dimensional
- low dimensional
- high dimensional data
- dimensional data
- laplacian eigenmaps
- principal components analysis
- subspace learning
- orthogonal projection
- principal component analysis
- triangular mesh
- dimension reduction
- feature space
- dimensionality reduction methods
- pattern recognition
- neural network
- multi dimensional
- geodesic distance
- nearest neighbor
- preprocessing
- machine learning
- data mining