1. Aljalbout, E., Golkov, V., Siddiqui, Y., Strobel, M., Cremers, D.: Clustering with deep learning: taxonomy and new methods. arXiv preprint arXiv:1801.07648 (2018)
2. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. Technical report, Stanford (2006)
3. Avrithis, Y., Tsapatsoulis, N., Kollias, S.: Broadcast news parsing using visual cues: a robust face detection approach. In: 2000 IEEE International Conference on Multimedia and Expo, ICME 2000, Proceedings of the Latest Advances in the Fast Changing World of Multimedia (Cat. No. 00TH8532), vol. 3, pp. 1469–1472. IEEE (2000)
4. Azizi, S., et al.: Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. 12, 1293–1305 (2017). https://doi.org/10.1007/s11548-017-1627-0
5. Cohen, J.P., Morrison, P., Dao, L., Roth, K., Duong, T.Q., Ghassemi, M.: COVID-19 image data collection: prospective predictions are the future. arXiv preprint arXiv:2006.11988 (2020)