Similarity measures for interval-valued fuzzy sets based on average embeddings and its application to hierarchical clustering.
Noelia RicoPedro HuidobroAgustina BouchetIrene DíazPublished in: Inf. Sci. (2022)
Keyphrases
- hierarchical clustering
- similarity measure
- interval valued fuzzy sets
- clustering method
- fuzzy set theory
- distance measure
- clustering algorithm
- imbalanced data sets
- single linkage
- hierarchical clustering algorithm
- fuzzy sets
- low dimensional
- euclidean distance
- hierarchical clustering methods
- k means
- interval valued
- dimensionality reduction
- similarity search
- membership functions
- concept learning
- feature extraction
- partitional clustering
- data mining