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Review Open access Sep 2026

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...

Josh Taylor, S. Offner, R. Friesen et al. · 0 citations

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