Improved determination of the weights in a clustering approach based on a weighted dissimilarity measure between fuzzy data.
Elham EskandariAlireza KhastanStefania TomasielloPublished in: FUZZ-IEEE (2022)
Keyphrases
- dissimilarity measure
- data sets
- clustering method
- data points
- clustering analysis
- data analysis
- spectral clustering
- data mining
- weighted association rule mining
- high dimensional data
- dissimilarity representation
- fuzzy membership functions
- cluster centers
- weighted sum
- data mining tasks
- categorical data
- knowledge discovery
- training data
- image processing
- machine learning
- neural network