Density-based method for clustering and visualization of complex data

Agnieszka Nowak-Brzezińska, Tomasz Xięski

Abstract


This work reviews currently used implementation solutions for clustering large volumes of data, and describes the problem of choosing proper initial values for the density-based DBSCAN algorithm. Furthermore it should be also treated as an introduction to the topic of visualization of complex clusters using another density-based algorithm – OPTICS.

Keywords


cluster visualization; clustering; OPTICS; DBSCAN

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References


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DOI: http://dx.doi.org/10.21936/si2012_v33.n2A.159