|
|
|
Paolo Pellizzoni, Andrea Pietracaprina and Geppino Pucci
Metric k-center clustering is a fundamental unsupervised learning primitive. Although widely used, this primitive is heavily affected by noise in the data, so a more sensible variant seeks for the best solution that disregards a given number z of points ...
ver más
|
|
|