1. Arthur, D., & Vassilvitskii, S. 2007. K-means ++: The Advantages of Careful Seeding. Eighteenth Acm-siam Symposium on Discrete Algorithms. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA, January 7–9, 2007. ACM.
2. Blei, D. M., Ng, A. Y., Jordan, M. I., & Lafferty, J. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.
3. Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 10, 10008.
4. Caviggioli, F. (2016). Technology fusion: Identification and analysis of the drivers of technology convergence using patent data. Technovation, 55–56, 22–32.
5. Chen, J., Zhang, K., Zhou, Y., Liu, Y., Li, L., Chen, Z., et al. (2019). Exploring the development of research, technology and business of machine tool domain in new-generation information technology environment based on machine learning. Sustainability, 11, 3316.