5 citations · 5 across the 3 of their papers we have counts for
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Model-based clustering of categorical data based on the Hamming distance
Raffaele Argiento, Edoardo Filippi-Mazzola, Lucia Paci
A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability ma…
Learning block structured graphs in Gaussian graphical models
Alessandro Colombi, Raffaele Argiento, Lucia Paci +1
Within the framework of Gaussian graphical models, a prior distribution for the underlying graph is introduced to induce a block structure in the adjacency matrix of the graph and…
Gaussian graphical modeling for spectrometric data analysis
Laura Codazzi, Alessandro Colombi, Matteo Gianella +3
Motivated by the analysis of spectrometric data, we introduce a Gaussian graphical model for learning the dependence structure among frequency bands of the infrared absorbance spec…