2023

• L. Nigro, F. Cicirelli, P. Franti. "Parallel Random Swap: An Efficient and Reliable Clustering Algorithm in Java". J. Simulation Modelling Practice and Theory, Vol. 124, April 2023, 102712. Published on-line December, 2022.
• L. Nigro, F. Cicirelli. "Performance of a K-Means Algorithm driven by careful seeding". In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, ISBN 978-989-758-668-2, ISSN 2184-2841, pages 27-36, Rome, 12-14 July 2023.
• L. Nigro, F. Cicirelli. "An efficient algorithm for clustering sets". Proc. of 27th IEEE/ACM Int. Symposium on Distributed Simulation and Real-Time Applications (DS-RT 2023), IEEE CS, October 4-6, 2023.
• L. Nigro, F. Cicirelli. "Modelling and analysis of clustering by medoids using Uppaal". Seventh WorldS4, London, 23-24 August (Springer LNNS proceedings).
• F. Cicirelli, L. Nigro. "Assessing time behavior in disaster managemeng by using Petri nets and model checking". Proc. of 8th Int. Conf. on Information Technologies for Disaster Management, Cosenza, Italy, September 13-15, 2023.
• L. Nigro, F. Cicirelli, F. Pupo. "A K-Means variation based on careful seeding and constrained Silhouette coefficients". Proc. of 2nd Int. Conf. on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023), September 21-23, Springer LNNS.
• L. Nigro, P. Franti. "Two medoid-based algorithms for clustering sets". Algorithms, 16(349):1-17, https://doi.org/10.3390/a16070349, 2023.
• L. Nigro, F. Cicirelli. "Adapting Hartigan & Wong K-Means for the Efficient Clustering of Sets". Open Access Biostatistics & Bioinformatics, 3(3), DOI: 10.31031/OABB.2023.03.000564, 2023.
• L. Nigro, F. Cicirelli. "Improving clustering accuracy of K-Means and Random Swap by an evolutionary technique based on careful seeding". Algorithms, 16(572):1-25, 2023, https://doi.org/10.3390/a16120572.