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Finding best algorithmic components for clustering microarray data

✍ Scribed by Vukićević, Milan; Kirchner, Kathrin; DelibaÅ¡ić, Boris; Jovanović, MiloÅ¡; Ruhland, Johannes; Suknović, Milija

Book ID
120184679
Publisher
Springer-Verlag
Year
2012
Tongue
English
Weight
494 KB
Volume
35
Category
Article
ISSN
0219-1377

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## Abstract Cluster analysis is a helpful tool for explorative analysis of large and complex data. Most clustering methods will, however, find clusters also in random data. An important aspect of cluster analysis is therefore to distinguish real and artificial clusters, as this will make interpreta