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KERNELS AND BEYOND FOR DATA SIMILARITY LEARNING IN DATA MINING
(2019-12-04)
This work discusses the problem of unsupervised clustering of signals/data vectors based on their information content. A correlation based perspective to the clustering problem has been considered, thus relying on the high ...
UNSUPERVISED DATA DRIVEN MACHINE LEARNING IN HYPERSPECTRAL IMAGING AND ECHOCARDIOGRAPHY VIDEOS
(2021-05-06)
This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently ...