A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data
Samantha J. Corrado, Tejas G. Puranik, Olivia J. Pinon Fischer, Dimitri N. Mavris
Topics & Concepts
TrajectoryComputer scienceDBSCANAnomaly detectionOutlierCluster analysisData miningDimension (graph theory)Air traffic controlAviationEnergy (signal processing)Scale (ratio)Spatial analysisData setReal-time computingGeographyEngineeringMathematicsStatisticsRemote sensingAerospace engineeringArtificial intelligenceCanopy clustering algorithmAstronomyPure mathematicsCorrelation clusteringPhysicsCartographyAir Traffic Management and OptimizationTraffic and Road SafetyAnomaly Detection Techniques and Applications