Statements (18)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:alsoKnownAs |
gptkb:Johnson–Lindenstrauss_lemma
|
| gptkbp:appliesTo |
dimension reduction
random projection |
| gptkbp:describes |
embedding of finite metric spaces into Hilbert space
|
| gptkbp:field |
functional analysis
|
| gptkbp:namedAfter |
gptkb:Joram_Lindenstrauss
|
| gptkbp:publicationYear |
1984
|
| gptkbp:publishedIn |
gptkb:Israel_Journal_of_Mathematics
|
| gptkbp:state |
finite set of points in high-dimensional space can be embedded into lower-dimensional space with small distortion
|
| gptkbp:usedIn |
gptkb:theoretical_computer_science
gptkb:machine_learning data mining compressed sensing |
| gptkbp:bfsParent |
gptkb:Joram_Lindenstrauss
gptkb:Micha_Lindenstrauss |
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
Lindenstrauss theorem
|