Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
dimensionality reduction technique
manifold learning algorithm |
| gptkbp:application |
gptkb:data_visualization
bioinformatics image processing pattern recognition feature extraction |
| gptkbp:developedBy |
gptkb:Joshua_B._Tenenbaum
|
| https://www.w3.org/2000/01/rdf-schema#label |
Isomap
|
| gptkbp:input |
high-dimensional data
|
| gptkbp:introducedIn |
2000
|
| gptkbp:output |
low-dimensional embedding
|
| gptkbp:publishedIn |
gptkb:science
|
| gptkbp:relatedTo |
gptkb:machine_learning
multidimensional scaling nonlinear dimensionality reduction |
| gptkbp:supportsAlgorithm |
gptkb:PCA
gptkb:t-SNE gptkb:Laplacian_Eigenmaps gptkb:Locally_Linear_Embedding |
| gptkbp:uses |
gptkb:classical_multidimensional_scaling
geodesic distances nearest neighbor graph |
| gptkbp:bfsParent |
gptkb:t-SNE
|
| gptkbp:bfsLayer |
6
|