@inbook{6c75af2639a24f23877f7cb20f2a48aa,
title = "Clustering the Corpus of Seneca: A Lexical-Based Approach",
abstract = "We present a lexical-based investigation into the corpus of the opera omnia of Seneca. By applying a number of statistical techniques to textual data we aim to automatically collect similar texts into closely related groups. We demonstrate that our objective and unsupervised method is able to distinguish the texts by work and genre.",
keywords = "Clustering, Latin, Clustering, Latin",
author = "Gabriele Cantaluppi and Passarotti, {Marco Carlo}",
year = "2014",
doi = "10.1007/10104_2014_6",
language = "English",
isbn = "978-3-319-02966-5",
series = "STUDIES IN THEORETICAL AND APPLIED STATISTICS",
pages = "13--25",
editor = "Maurizio Carpita and Eugenio Brentari and Qannari, {El Mostafa}",
booktitle = "Advances in Latent Variables. Methods, Models and Applications",
}