Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7497
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data ; day:30 ; month:7 ; year:2021 ; pages:1-13
Applied intelligence ; (30.7.2021), 1-13
- Creator
-
López-Sánchez, Daniel
Bodt, Cyril de
Lee, John A.
Arrieta, Angélica González
Corchado, Juan M.
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s10489-021-02626-6
- URN
-
urn:nbn:de:101:1-2021102819090527430636
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:19 AM CEST
Data provider
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Associated
- López-Sánchez, Daniel
- Bodt, Cyril de
- Lee, John A.
- Arrieta, Angélica González
- Corchado, Juan M.
- SpringerLink (Online service)
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Friendly advice
Friendly Cove,
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Estimation and inference by the method of projection minimum distance
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Projection.
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Tuning the Inter‐Nanoplatelet Distance and Coupling Strength by Thermally Induced Ligand Decomposition
SQL-Tuning - SQL-Tuning
Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data
Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom
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Friendly advice