Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:appliesTo |
gptkb:Euclidean_space
|
| gptkbp:describes |
dimension reduction
|
| gptkbp:field |
gptkb:geometry
gptkb:mathematics computer science linear algebra |
| gptkbp:namedAfter |
gptkb:William_B._Johnson
gptkb:Joram_Lindenstrauss |
| gptkbp:relatedTo |
gptkb:curse_of_dimensionality
embedding theorem random projection |
| gptkbp:state |
points in high-dimensional space can be embedded into a lower-dimensional space with approximately preserved pairwise distances
|
| gptkbp:usedIn |
gptkb:machine_learning
data mining compressed sensing nearest neighbor search |
| gptkbp:yearProposed |
1984
|
| gptkbp:bfsParent |
gptkb:Joram_Lindenstrauss
gptkb:Jelani_Nelson |
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
Johnson–Lindenstrauss lemma
|