Statements (17)
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
|
https://www.w3.org/2000/01/rdf-schema#label |
Lindenstrauss theorem
|
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:machine_learning
theoretical computer science data mining compressed sensing |
gptkbp:bfsParent |
gptkb:Joram_Lindenstrauss
|
gptkbp:bfsLayer |
5
|