Figure 5
From: Novel applications of Convolutional Neural Networks in the age of Transformers
In this demonstration of analysis of high dimensional data with very small perturbations, DeepMapper can find these small variations in a few (in this example two) variables out of very large number of random variables (here 18,225). (a) DeepMapper representations of each record. (b) The result of the test run of the classification with unseen data (3750 elements). (c) The first and second variables in the graph are measurably higher than the other variables.
