Abstract: This paper presents a new method that combines deep k-means clustering with granule mining approaches to utilise contextual information for improving outlier detection and classification.

Abstract: To enhance the accuracy of the inverse model with a limited number of antenna sample points, a data augmentation method based on K-means and forward neural networks (FNNs) is proposed. In ...