Journal cover Journal topic
Proceedings of the ICA
Journal topic
Articles | Volume 1
https://doi.org/10.5194/ica-proc-1-63-2018
https://doi.org/10.5194/ica-proc-1-63-2018
16 May 2018
 | 16 May 2018

Significant locations in auxiliary data as seeds for typical use cases of point clustering

Johannes Kröger

Keywords: web mapping, cluster initialization, cluster preprocessing, significant locations, population density

Abstract. Random greedy clustering and grid-based clustering are highly susceptible by their initial parameters. When used for point data clustering in maps they often change the apparent distribution of the underlying data. We propose a process that uses precomputed weighted seed points for the initialization of clusters, for example from local maxima in population density data. Exemplary results from the clustering of a dataset of petrol stations are presented.

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