4   Artículos

 
en línea
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
Revista: Algorithms    Formato: Electrónico

 
en línea
Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci and Eli Upfal    
We present an algorithm for approximating the diameter of massive weighted undirected graphs on distributed platforms supporting a MapReduce-like abstraction. In order to be efficient in terms of both time and space, our algorithm is based on a decomposi... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »