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DAGSTUHL
2009

Median Topographic Maps for Biomedical Data Sets

9 years 4 days ago
Median Topographic Maps for Biomedical Data Sets
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix only. This offers flexible and robust global data inspection methods which are particularly suited for a variety of data as occurs in biomedical domains. In this chapter, we give an overview about median clustering and its properties and extensions, with a particular focus on efficient implementations adapted to large scale data analysis.
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2009
Where DAGSTUHL
Authors Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
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