1. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: SODA ’07: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027–1035. Society for Industrial and Applied Mathematics (2007)
2. Bailey, M., Oberheide, J., Andersen, J., Mao, Z.M., Jahanian, F., Nazario, J.: Automated classification and analysis of internet malware. In: Proceedings of the 10th international conference on Recent advances in intrusion detection, pp. 178–197. Springer, Berlin (2007)
3. Bayer, U.: Large-scale dynamic malware analysis. Ph.D. dissertation, Technischen Universität Wien, December 2009
4. Bayer, U., Comparetti, P.M., Hlauschek, C., Kruegel, C., Kirda, E.: Scalable, Behavior-Based Malware Clustering. In: 16th Annual Network and Distributed System Security (2009)
5. Bayer, U., Kirda, E., Kruegel, C.: Improving the efficiency of dynamic malware analysis. In: Proceedings of the 2010 ACM Symposium on Applied Computing, ser. SAC ’10, pp. 1871–1878. ACM, New York (2010). doi: 10.1145/1774088.1774484