1. Ackermann, M., Märtens, M., Raupach, C., Swierkot, K., Lammersen, C., Sohler, C.: StreamKM++: a clustering algorithm for data streams. J. Exp. Algorithms 17, 2.4:2.1–2.4:2.30 (2012)
2. Ailon, N., Jaiswal, R., Monteleoni, C.: Streaming k-means approximation. In: NIPS (2009)
3. Appice, A., Guccione, P., Malerba, D., Ciampi, A.: Dealing with temporal and spatial correlations to classify outliers in geophysical data streams. Inf. Sci. 285, 162–180 (2014)
4. Arthur, D., Vassilvitskii, S.: k-means++: The advantage of careful seeding. In: SODA (2007)
5. Bachem, O., Lucic, M., Hassani, S., Krause, A.: Approximate k-means++ in sublinear time. In: AAAI (2016)