Online Nonlinear Classification for High-Dimensional Data.
N. Denizcan VanliHuseyin OzkanIbrahim DelibaltaSuleyman Serdar KozatPublished in: BigData Congress (2015)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- regression problems
- subspace clustering
- small sample size
- high dimensions
- high dimension
- pattern recognition
- feature space
- data points
- similarity search
- data sets
- high dimensional feature space
- input space
- dimensionality reduction methods
- feature extraction
- high dimensional feature spaces
- data distribution
- data analysis
- principal component analysis
- text classification
- input data
- nonlinear dimensionality reduction
- low dimensional manifolds
- manifold learning
- feature selection
- lower dimensional
- machine learning
- high dimensional spaces
- neural network
- kernel pca
- dimensional data
- text data
- feature set
- support vector machine
- training set
- decision trees
- locally linear embedding
- linear discriminant analysis
- support vector machine svm
- clustering high dimensional data