Fuzzy clustering based weighted principal component analysis for interval-valued data considering uniqueness of clusters.
Mika Sato-IlicPublished in: SMC (3) (2004)
Keyphrases
- interval valued data
- principal component analysis
- linear regression models
- possibilistic c means
- fuzzy clustering
- regression analysis
- clustering algorithm
- possibilistic clustering
- least squares
- regression model
- independent component analysis
- fuzzy c means
- fuzzy sets
- linear regression model
- principal components
- fuzzy rules
- cluster analysis
- fuzzy logic
- discriminant analysis
- membership functions
- low dimensional
- dimension reduction
- linear discriminant analysis
- machine learning
- dimensionality reduction
- data points
- feature space
- computer vision