Published 2024
“…The goal of this study is to use a promising technique for dimension reduction that reduces the noise but maintains the inter-view and cross-view
consensus. A self-organizing map is one of the well-known unsupervised neural network
algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An
algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …”