Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier.
Takuya KobayashiKatsuhiro HondaAkira NotsuHidetomo IchihashiPublished in: ICONIP (3) (2013)
Keyphrases
- dimension reduction
- fuzzy c means
- cluster analysis
- principal component analysis
- feature extraction
- independent component analysis
- fuzzy clustering
- feature space
- feature selection
- clustering method
- clustering algorithm
- fuzzy clustering algorithm
- fcm algorithm
- mercer kernel
- image segmentation
- fuzzy clustering algorithms
- low dimensional
- dimensionality reduction
- singular value decomposition
- feature set
- high dimensional
- preprocessing
- unsupervised learning
- face recognition
- high dimensional data
- euclidean distance
- random projections
- decision trees
- linear discriminant analysis
- k means
- training data
- support vector
- learning algorithm
- high dimensionality
- possibilistic c means
- training samples
- input data
- support vector machine
- data mining
- feature vectors
- training set
- reinforcement learning
- image processing
- genetic algorithm
- data sets