Etude experimentale avec Diogene de la production de fragments legers dans les reactions Ne + Nb a 400 et 800 MeV par nucleon
Abstract
We present an unsupervised approach to cluster sequences. This method is inspired by topology learning methods for hidden Markov models, and is built upon the definition of a distance between Markov models. This type of technique may be used to learn Markovian character models from data or to identify allographs or handwriting styles.