“…Unsupervised learning, a fundamental category of ML, involves analyzing and grouping unlabeled data based on similarities and differences, without any predefined labels [352]. Two critical techniques in unsupervised learning are clustering [353]- [355] and dimensionality reduction [356]- [359], each playing a vital role in healthcare, particularly in genomics and medical imaging.…”