Fermatean fuzzy similarity measures based on Tanimoto and Sørensen coefficients with applications to pattern classification, medical diagnosis and clustering analysis.
Zhe LiuPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- pattern classification
- clustering analysis
- medical diagnosis
- similarity measure
- clustering method
- fuzzy clustering
- fuzzy classifier
- cluster analysis
- pattern recognition
- medical images
- microarray
- feature extraction
- clustering algorithm
- cluster membership
- nearest neighbor rule
- k means
- pattern classification problems
- anomaly detection
- data clustering
- data mining
- fuzzy classification
- knowledge discovery
- membership functions
- distance measure
- euclidean distance
- fuzzy logic
- expert systems
- data sets
- fuzzy c means
- data analysis
- information retrieval
- data mining techniques
- active learning
- feature vectors
- databases