Clustering uncertain data objects using jeffreys-divergence and maximum bipartite matching based similarity measure

• Main Authors: Sharma, K. K., Seal, A., Yazidi, A., Selamat, A., Krejcar, O.
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/95349/1/AnisYazidi2021_ClusteringUncertainDataObjects.pdf; http://eprints.utm.my/id/eprint/95349/; http://dx.doi.org/10.1109/ACCESS.2021.3083969

In recent years, uncertain data clustering has become the subject of active research in many fields, for example, pattern recognition, and machine learning. Nowadays, researchers have committed themselves to substitute the traditional distance or similarity measures with new metrics in the existing...