Clustering and Classification through Normalizing Flows in Feature Space.
Juan P. AgnelliM. CadeirasEsteban G. TabakCristina Vilma TurnerEric Vanden-EijndenPublished in: Multiscale Model. Simul. (2010)
Keyphrases
- feature space
- high dimensionality
- classification accuracy
- feature vectors
- training samples
- feature selection
- high dimensional
- data points
- unsupervised learning
- feature extraction
- training set
- dissimilarity measure
- class separability
- unsupervised classification
- pattern classification
- clustering method
- support vector machine
- classification algorithm
- clustering algorithm
- principal component analysis
- supervised learning
- feature set
- high dimensional feature space
- pattern recognition
- kernel methods
- support vector
- data clustering
- discriminating power
- unsupervised clustering
- clustering analysis
- automatic classification
- kernel function
- hierarchical clustering
- dimension reduction
- support vector machine svm
- dimensionality reduction
- hyperplane
- linear discriminant analysis
- distance metric
- classification scheme
- supervised classification
- mean shift
- data sets
- high dimension
- k means
- image retrieval
- mercer kernel