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. 2015 Oct 1;5:14562. doi: 10.1038/srep14562

Figure 3.

Figure 3

(A) Diagram illustrating the swimming path classification method. Swimming paths are first segmented and then classified by means of a semi-supervised clustering algorithm. (BE) Definition of variables used for computing the measures, or feature values, for each swimming path segment. The features are an essential part of the clustering process since the feature values are used to estimate how similar the different segments are.