Machine learning friendly set version of Johnson–Lindenstrauss lemma
| Autor: | Mieczyslaw A. Klopotek |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Lemma (mathematics)
Johnson–Lindenstrauss lemma Random projection 0102 computer and information sciences Space (mathematics) 01 natural sciences Human-Computer Interaction Combinatorics Linear map 010104 statistics & probability Projection (relational algebra) Transformation (function) 010201 computation theory & mathematics Artificial Intelligence Hardware and Architecture 0101 mathematics Software Information Systems Mathematics Curse of dimensionality |
| Zdroj: | Knowledge and Information Systems. 62:1961-2009 |
| ISSN: | 0219-3116 0219-1377 |
| Popis: | The widely discussed and applied Johnson–Lindenstrauss (JL) Lemma has an existential form saying that for each set of data points Q in n-dimensional space, there exists a transformation f into an $$n'$$n′-dimensional space ($$n'n′ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink