Grouping time series by pairwise measures of redundancy

Details Grouping time series by pairwise measures of redundancy Grouping time series by pairwise measures of redundancy

2010-06-24

arxiv.org/abs/1006.4794v1

Biology

Quantitative Biology

Neurons and Cognition

4 pages, 8 figures

Scientific paper

A novel approach is proposed to group redundant time series in the frame of causality. It assumes that (i) the dynamics of the system can be described using just a small number of characteristic modes, and that (ii) a pairwise measure of redundancy is sufficient to elicit the presence of correlated degrees of freedom. We show the application of the proposed approach on fMRI data from a resting human brain and gene expression profiles from HeLa cell culture.

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