Metaheuristic Method for Dimensionality Reduction Tasks

This work demonstrates an alternative training approach, which can be fairly compared with the learning procedures for autoencoders within dimensionality reduction schemes. Therefore, this work’s metaheuristic artificial bee colony optimization method trains an encoder-type neural network, which can then compute orthogonal features straight away. Experimental sessions of this method lead us to show competitive results based on public domain datasets.