Litcius/Paper detail

Outlier detection: How to Select <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si208.svg" display="inline" id="d1e2443"> <mml:mi>k</mml:mi> </mml:math> for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si208.svg" display="inline" id="d1e2448"> <mml:mi>k</mml:mi> </mml:math> -nearest-neighbors-based outlier detectors

Jiawei Yang, Xu Tan, Sylwan Rahardja

2023Pattern Recognition Letters40 citationsDOI

Topics & Concepts

Consistency (knowledge bases)DetectorAnomaly detectionGeneralityComputer scienceOutlierData miningAlgorithmUniversality (dynamical systems)Artificial intelligencePhysicsTelecommunicationsQuantum mechanicsPsychotherapistPsychologyAnomaly Detection Techniques and ApplicationsImbalanced Data Classification TechniquesWater Systems and Optimization
Outlier detection: How to Select <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si208.svg" display="inline" id="d1e2443"> <mml:mi>k</mml:mi> </mml:math> for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si208.svg" display="inline" id="d1e2448"> <mml:mi>k</mml:mi> </mml:math> -nearest-neighbors-based outlier detectors | Litcius