James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower.

Minimum Entropy Decomposition (MED) provides a computationally efficient means to partition marker gene datasets into ‘MED nodes’, which represent homogeneous operational taxonomic units.

Andrew L. Rukhin, Approximate Entropy for Testing Randomness, Journal of Applied Probability, Vol. 37, No. 1 (Mar., 2000), pp. 88-100 ...