Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
dimensionality reduction algorithm
manifold learning method |
| gptkbp:basedOn |
gptkb:graph_Laplacian
|
| gptkbp:computes |
eigenvectors of Laplacian matrix
|
| https://www.w3.org/2000/01/rdf-schema#label |
Laplacian Eigenmaps
|
| gptkbp:input |
similarity graph
|
| gptkbp:introduced |
gptkb:Partha_Niyogi
Mikhail Belkin |
| gptkbp:introducedIn |
2001
|
| gptkbp:output |
low-dimensional embedding
|
| gptkbp:preserves |
local neighborhood structure
|
| gptkbp:publishedIn |
Neural Information Processing Systems (NIPS) 2001
|
| gptkbp:reduces |
graph-based cost function
|
| gptkbp:relatedTo |
gptkb:Isomap
gptkb:Locally_Linear_Embedding spectral clustering manifold hypothesis |
| gptkbp:supportsAlgorithm |
unsupervised learning
|
| gptkbp:usedFor |
gptkb:data_visualization
nonlinear dimensionality reduction |
| gptkbp:bfsParent |
gptkb:Isomap
|
| gptkbp:bfsLayer |
7
|