75 citations · 189 across the 10 of their papers we have counts for
4 papers · 1 filter
Algorithms of maximum likelihood data clustering with applications
Lorenzo Giada, Matteo Marsili
We address the problem of data clustering by introducing an unsupervised, parameter free approach based on maximum likelihood principle. Starting from the observation that data set…
A pseudo-spectral method for the Kardar-Parisi-Zhang equation
Lorenzo Giada, Achille Giacometti, Maurice Rossi
We discuss a numerical scheme to solve the continuum Kardar-Parisi-Zhang equation in generic spatial dimensions. It is based on a momentum-space discretization of the continuum equ…
Data clustering and noise undressing for correlation matrices
Lorenzo Giada, Matteo Marsili
We discuss a new approach to data clustering. We find that maximum likelihood leads naturally to an Hamiltonian of Potts variables which depends on the correlation matrix and whose…
Data clustering and noise undressing of correlation matrices
M. Marsili
We discuss a new approach to data clustering. We find that maximum likelyhood leads naturally to an Hamiltonian of Potts variables which depends on the correlation matrix and whose…