Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
dimensionality reduction technique
|
| gptkbp:advantage |
simplicity
computational efficiency |
| gptkbp:application |
gptkb:dictionary
image processing clustering text mining nearest neighbor search |
| gptkbp:basedOn |
Johnson-Lindenstrauss lemma
|
| gptkbp:contrastsWith |
Principal Component Analysis
|
| gptkbp:goal |
reduce dimensionality of data
|
| https://www.w3.org/2000/01/rdf-schema#label |
Random Projection Methods
|
| gptkbp:limitation |
may not preserve all data structure
|
| gptkbp:output |
lower-dimensional representation
|
| gptkbp:preserves |
pairwise distances approximately
|
| gptkbp:relatedTo |
feature extraction
|
| gptkbp:type |
gptkb:transformation
|
| gptkbp:usedIn |
gptkb:machine_learning
gptkb:signal_processing data mining |
| gptkbp:uses |
random matrix
|
| gptkbp:bfsParent |
gptkb:Santosh_Vempala
|
| gptkbp:bfsLayer |
7
|