Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning. (arXiv:2202.07754v1 [cs.CV])

Many measurement modalities which perform imaging by probing an object
pixel-by-pixel, such as via Photoacoustic Microscopy, produce a
multi-dimensional feature (typically a time-domain signal) at each pixel. In
principle, the many degrees of freedom in the time-domain signal would admit
the possibility of significant multi-modal information being implicitly
present, much more than a single scalar "brightness", regarding the underlying
targets being observed. However, the measured signal is neither a weighted-sum
of basis functions (such as principal components) nor one of …

arxiv cv k-means learning noise