1. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In : Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027–1035, Jan 2007. https://doi.org/10.1145/1283383.1283494
2. Behley, J., Stachniss, C.: Efficient surfel-based slam using 3d laser range data in urban environments. Robotics: Science and Systems (2018). https://doi.org/10.15607/RSS.2018.XIV.016
3. Bilmes, J.A.: A gentle tutorial of the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models. Intl. Comput. Sci. Inst. 4(510), 126 (1998)
4. Bishop, C.: Pattern Recognition and Machine Learning, 2nd edn. Springer-Verlag, New York, New York (2007)
5. Boumal, N., Mishra, B., Absil, P.A., Sepulchre, R.: Manopt, a matlab toolbox for optimization on manifolds. J. Mach. Learn. Res. 15(1), 1455–1459 (2014)