Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...

This course is available on the MSc in Mathematics and Computation and MSc in Operations Research & Analytics. This course is available with permission as an outside option to students on other ...

Biclustering algorithms represent a key methodological advance in analysing gene expression data, enabling simultaneous clustering of both genes and experimental conditions. This dual clustering ...