Discovering knowledge from complex data

Agnieszka Nowak-Brzezińska, Tomasz Xięski

Abstract


This work presents a universal knowledge discovery method from complex data, which takes into account the usage of data description techniques, cluster analysis algorithms and effective means of visualization of the discovered knowledge. A characteristic feature of this method is the usage of a two-stage clustering process.

Keywords


cluster visualization; clustering; complex data; DBSCAN; AHC

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References


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DOI: http://dx.doi.org/10.21936/si2014_v35.n2.678