The traditional K-means algorithm is sensitive to the initial clustering center, and randomly selecting different initial clustering centers will result in different clustering results. In this paper, ...

Autoencoder-K-Means Algorithm for Efficient Anomaly Detection to Improve Space Operations Abstract: As we venture further into space, the need for Artificial Intelligence (AI) based anomaly detection ...