ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data.
Jean-Sébastien DessureaultDaniel MassicottePublished in: CoRR (2022)
Keyphrases
- unsupervised learning
- synthetic data
- statistical methods
- high accuracy
- test data
- detection method
- data collection
- significant improvement
- data sets
- fuzzy membership functions
- training samples
- prior knowledge
- database
- noisy data
- fuzzy sets
- input data
- missing data
- data analysis
- high quality
- neural network
- membership functions
- decision trees
- data structure
- feature set
- computer vision
- genetic algorithm
- pairwise
- supervised learning
- fuzzy logic
- correlation analysis
- fuzzy reasoning
- image data