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Functional clustering algorithm for the analysis of dynamic network data

We formulate a technique for the detection of functional clusters in discrete event data. The advantage of this algorithm is that no prior knowledge of the number of functional groups is needed, as our procedure progressively combines data traces and derives the optimal clustering cutoff in a simple...

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Hlavní autoři: Feldt, S, Waddell, J, Hetrick, V. L., Berke, J. D., Żochowski, M
Médium: Artigo
Jazyk:Inglês
Vydáno: 2009
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2814878/
https://ncbi.nlm.nih.gov/pubmed/19518518
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