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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer US,
2021-10-18T13:53:52Z.
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| Subjects: | |
| Online Access: | Get fulltext |