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 ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Scientists respond to RFK Jr.

Did you know that Truthout is a nonprofit and independently funded by readers like you? If you value what we do, please support our work with a donation. Rep. Ro Khanna (D-California) has called on ...