Clustering Spectral Line Cubes: A Multiview Prototype Approach
We present a new clustering paradigm to segment radio astronomy cubes based on unsupervised machine learning provided by a recent modification of self-organizing maps (SOMs) known as self-organizing uniform manifold approximation and projection (SOUMAP). SOUMAP simultaneously reduces sample size via neural vector quant...