112 citations · 471 across the 23 of their papers we have counts for
3 papers · 1 filter
Semi-supervised learning by search of optimal target vector
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro +1
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labelled points vanishes. Our approach is based on the notion…
Identification of network modules by optimization of ratio association
Leonardo Angelini, Stefano Boccaletti, Daniele Marinazzo +2
We introduce a novel method for identifying the modular structures of a network based on the maximization of an objective function: the ratio association. This cost function arises…
Natural clustering: the modularity approach
L. Angelini, D. Marinazzo, M. Pellicoro +1
We show that modularity, a quantity introduced in the study of networked systems, can be generalized and used in the clustering problem as an indicator for the quality of the solut…