Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data

Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data

Random Projection is one of the most popular and successful dimensionality reduction algorithms for large volumes of data. However, given its stochastic nature, different initializations of the projection matrix can lead to very different levels of performance. This paper presents a guided random se...

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Bibliographic Details
Main Authors: López-Sánchez, Daniel, de Bodt, Cyril, Lee, John A., Arrieta, Angélica G., Corchado, Juan M.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: Springer US 2021
Online Access:https://hdl.handle.net/1721.1/133016

Internet

https://hdl.handle.net/1721.1/133016

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