We present a novel unsupervised machine learning method for quantitative representation of scanning electron micrographs and its applications performance nuclear forensic analysis uranium ore concentrates. The uses vector quantizing variational autoencoder followed by histogram operation to encode micrograph into single dimensional representation, called the feature vector. requires no extant l...

In this article, we consider unsupervised learning from the point of view of applying neural computation on signal and data analysis problems. The article is an introductory survey, concentrating on the main principles and categories of unsupervised learning. In neural computation, there are two classical categories for unsupervised learning methods and models: ,rst, extensions of principal com...