This function will plot the distance between classes in feature space, given an input matrix of distances.
Inputs:
F - a square matrix representing the distances between target classes
c_labels - a cell array of class labels, given in the same order as represented by F
show_dist - [optional] a Boolean value (1 or 0) to indicate whether edges should be labeled with the distances from F (default is 0)
Outputs:
cd_fig - handle to the figure produced
引用格式
D. Heise and H. Bear, "Evaluating the Potential and Realized Impact of Data Augmentations", submitted to 2023 IEEE Symposium Series on Computational Intelligence, in review.
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R2023a
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