Fig. 7
From: A multi-label visualisation approach for malware behaviour analysis
t-SNE plots illustrating the image feature representations extracted by two VGG16 models trained on the malware dataset. Plot A corresponds to training with softmax loss, while Plot B corresponds to training with joint loss. The joint loss model shows enhanced inter-class separation and reduced intra-class variance.
