Fuzzy k-nearest neighbor based dental fluorosis classification using multi-prototype unsupervised possibilistic fuzzy clustering via cuckoo search algorithm

HIGHLIGHTS

• who: Ritipong Wongkhuenkaew and collaborators from the Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand have published the Article: Fuzzy K-Nearest Neighbor Based Dental Fluorosis Classification Using Multi-Prototype Unsupervised Possibilistic Fuzzy Clustering via Cuckoo Search Algorithm, in the Journal: (JOURNAL) of 13/02/2023
• what: In this paper, we proposed an automatic system of dental fluorosis classification using six color features from the RGB and HSI color spaces as feature vectors.
• how: To help dentists screen the severity of this paper proposes an automatic segmentation and . . .
  

   

  

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