2 papers
math.NA2022
Solving clustering as ill-posed problem: experiments with K-Means algorithm
Alberto Arturo Vergani
In this contribution, the clustering procedure based on K-Means algorithm is studied as an inverse problem, which is a special case of the illposed problems. The attempts to improv…
cs.NE2020
Critical Limits in a Bump Attractor Network of Spiking Neurons
Alberto Arturo Vergani, Christian Robert Huyck
A bump attractor network is a model that implements a competitive neuronal process emerging from a spike pattern related to an input source. Since the bump network could behave in…