Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.
José Nataniel A. de SáMarcelo Rodrigo Portela FerreiraFrancisco de A. T. de CarvalhoPublished in: FUZZ-IEEE (2022)
Keyphrases
- feature space
- variable weighting
- kernel methods
- semi supervised
- kernel pca
- mean shift
- fuzzy logic
- high dimensional data
- dimensionality reduction
- fuzzy sets
- support vector machine
- high dimensionality
- k means
- principal component analysis
- data points
- high dimensional
- membership functions
- particle swarm optimizer
- feature selection
- training set
- feature vectors
- text clustering
- kernel function
- fuzzy rules
- support vector
- clustering algorithm
- feature extraction
- pattern recognition
- text mining
- machine learning
- image retrieval
- model selection
- linear discriminant analysis
- dimension reduction
- collaborative filtering
- genetic algorithm