An exact algorithm for semi-supervised minimum sum-of-squares clustering
V Piccialli, AR Russo, AM Sudoso - Computers & Operations Research, 2022 - Elsevier
The minimum sum-of-squares clustering (MSSC), or k-means type clustering, is traditionally
considered an unsupervised learning task. In recent years, the use of background …
considered an unsupervised learning task. In recent years, the use of background …
Memetic Differential Evolution Methods for Semi-Supervised Clustering
P Mansueto, F Schoen - arXiv preprint arXiv:2403.04322, 2024 - arxiv.org
In this paper, we deal with semi-supervised Minimum Sum-of-Squares Clustering (MSSC)
problems where background knowledge is given in the form of instance-level constraints. In …
problems where background knowledge is given in the form of instance-level constraints. In …