Burgard, Jan Pablo; Moreira Costa, Carina; Schmidt, Martin - In: Annals of Operations Research 339 (2022) 3, pp. 1525-1568
k -means clustering is a classic method of unsupervised learning with the aim of partitioning a given number of measurements into k clusters. In many modern applications, however, this approach suffers from unstructured measurement errors because the k -means clustering result then represents a...
