Determine the Number of Unknown Targets in Open World Based on Elbow Method
Fan Liu, Yong Deng
Abstract
Generalized evidence theory as an extension of Dempster-Shafer evidence theory can deal with uncertain information fusion in the open world. However, one of the open issues is to detect the number of unknown targets. In this article, a new method based on the elbow method is proposed to solve this problem. After the identification of the open world, K-means clustering is used to cluster categories. Then, the elbow method is used to find a correct number of unknown targets. The frame of discernment is reupdated. To test effectiveness of the proposed method, several experiments are conducted. The results illustrate the advantage of the proposed method in the open world.
Topics & Concepts
Cluster analysisIdentification (biology)MathematicsArtificial intelligenceComputer scienceFrame (networking)ElbowDiscernmentSurgeryEpistemologyPhilosophyBotanyBiologyTelecommunicationsMedicineAnomaly Detection Techniques and ApplicationsFace and Expression RecognitionImage Processing and 3D Reconstruction