Visualizing multidimensional data based on Laplacian Eigenmaps projection.
Vinicius Ruela Pereira BorgesPublished in: SMC (2014)
Keyphrases
- multidimensional data
- laplacian eigenmaps
- manifold learning
- dimensionality reduction
- kernel pca
- nonlinear dimensionality reduction
- data warehouse
- graph laplacian
- range queries
- spatial data
- locally linear embedding
- index structure
- r tree
- low dimensional
- euclidean space
- similarity search
- data points
- data visualization
- dynamic time warping
- empirical mode decomposition
- high dimensional
- data structure
- data mining
- data cube
- multi dimensional
- feature extraction
- computer vision
- kernel methods
- high dimensional data
- scientific data
- active learning