Interpretable interval type-2 fuzzy predicates for data clustering: A new automatic generation method based on self-organizing maps.
Diego S. ComasJuan Ignacio PastoreAgustina BouchetVirginia L. BallarinGustavo J. MeschinoPublished in: Knowl. Based Syst. (2017)
Keyphrases
- data clustering
- generation method
- interval type fuzzy
- cluster analysis
- unsupervised learning
- subtractive clustering
- k means
- clustering algorithm
- spectral clustering
- deterministic annealing
- exploratory data analysis
- genetic algorithm
- evolutionary algorithm
- computer vision
- fuzzy controller
- unsupervised feature selection
- control system
- machine learning
- clustering ensemble
- real world
- neural network