FCM classifier for high-dimensional data.
Hidetomo IchihashiKatsuhiro HondaAkira NotsuEri MiyamotoPublished in: FUZZ-IEEE (2008)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensions
- high dimensional
- data analysis
- feature space
- high dimensionality
- input data
- data sets
- subspace clustering
- data distribution
- dimension reduction
- original data
- data points
- linear discriminant analysis
- fuzzy c means
- lower dimensional
- manifold learning
- training set
- training data
- fuzzy clustering
- high dimensional spaces
- training samples
- nonlinear dimensionality reduction
- clustering high dimensional data
- similarity search
- feature selection
- sparse representation
- support vector
- missing values
- high dimensional datasets
- support vector machine
- input space
- dimensional data
- decision trees
- locally linear embedding
- image processing
- classification algorithm
- learning algorithm
- feature set
- text classification
- feature vectors
- database
- image segmentation
- distance function
- variable weighting