Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering.
Zeynel CebeciCagatay CebeciYalcin TahtaliLutfi BayyurtPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- fuzzy clustering
- outlier detection
- possibilistic clustering
- fuzzy c means
- detection algorithm
- fuzzy clustering algorithm
- membership functions
- knowledge discovery
- fuzzy c means algorithm
- clustering algorithm
- credit card fraud detection
- unsupervised learning
- fuzzy clustering method
- data streams
- fuzzy clustering algorithms
- data mining
- high dimensional datasets
- density estimation
- cluster analysis
- supervised learning
- data sets
- data analysis
- fuzzy c means clustering algorithm
- computer vision
- artificial intelligence
- density ratio estimation