Unsupervised Learning method "Denoising Autoencoder Self-Organising Map"

See our Unsupervised Learning method "Denoising Autoencoder Self-Organising Map" (DASOM) although developed for the Early Cancer Diagnostics Project it is universally applicable to a wide range of applications. DASOM integrates autoencoders into a hierarchically organised hybrid model where the front-end component is a grid of topologically ordered neurons. The model maintains clustering properties but by extending and enhancing its visualisation capacity it enables an inclusion and analysis of the intermediate representative space. Download the paper for free at https://authors.elsevier.com/a/1X5v~3BBjKVz76