Contributions of Fuzzy Concepts to Data Clustering.
Sadaaki MiyamotoPublished in: Fuzzy Sets, Rough Sets, Multisets and Clustering (2017)
Keyphrases
- data clustering
- clustering analysis
- clustering algorithm
- cluster analysis
- spectral clustering
- k means
- unsupervised learning
- unsupervised feature selection
- deterministic annealing
- partitional clustering
- fuzzy sets
- exploratory data analysis
- membership functions
- fuzzy clustering
- clustering ensemble
- background knowledge
- concept lattice
- training set
- competitive learning
- image segmentation
- clustering quality
- global optimization
- neural network
- fuzzy rules
- knn
- knowledge discovery
- data sources