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.
GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
Abstract: Analyzing the uncertainty of electric vehicle (EV) charging behavior is of great significance for the safety, stability, and reliability of power distribution networks. Cluster analysis can ...