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An Exact Hypergraph Matching algorithm for posture identification in embryonic C. elegans

Table 1

Hypergraphical models Pairs and Posture achieved highest posture identification accuracy.

Posture identification accuracies across all N=1264 samples. Point-set matching models are listed across columns: KerGM [8] was compared to proposed EHGM models. Rows list the top x accuracy as a percentage of samples. The differences between top x accuracies across hypergraphical models highlight the difficulty in posture identification.

Table 1

doi: https://doi.org/10.1371/journal.pone.0277343.t001