Our paper “Contraction Clustering (Raster): A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time” has been published in the Springer Lecture Notes in Computer Science series.

Here is the full citation with doi:

Ulm G., Gustavsson E., Jirstrand M. (2018) Contraction Clustering (Raster). In: Nicosia G., Pardalos P., Giuffrida G., Umeton R. (eds) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, vol 10710. Springer, Cham
https://doi.org/10.1007/978-3-319-72926-8_6

Alternatively, the submitted manuscript is available in my Gitlab repository:
https://gitlab.com/gregor_ulm/publications