Published December 15, 2022
| Version v1
Dataset
Open
Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction
Creators
- 1. Mondragon Unibertsitatea
- 2. Instituto Universitário de Lisboa (ISCTE-IUL)
- 3. University of Vigo
Description
Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction
This work has been developed to discover the usage of Multi-Objective Evolutionary computation to reduce the dimensionality of synset-based datatsets.
The objective of this code is to introduce different dimensionality reduction methods (lossless, low-loss and lossy) as an optimization problem that can be solved using Multi-Objective Evolutionary Algorithms (MOEA).
Files
moea4sdr-main.zip
Files
(19.8 MB)
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md5:de693259f29e71cee251a08363af9d5c
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