Ali Adibiyan

A scalable hybrid KPCA-ELM framework for high-dimensional big data analysis

This study aims to address the challenges of analyzing high-dimensional big data by enhancing the Extreme Learning Machine (ELM) with a scalable and efficient feature extraction mechanism. Specifically, we integrate a Scalable Kernel Principal Component Analysis (S-KPCA) into the hidden layer of ELM to improve gene...