Booster in High Dimensional Data Classification.
HyunJi KimByong Su ChoiMoon Yul HuhPublished in: IEEE Trans. Knowl. Data Eng. (2016)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- small sample size
- regression problems
- nearest neighbor
- data points
- high dimensions
- subspace clustering
- high dimensional feature spaces
- manifold learning
- data analysis
- similarity search
- multivariate temporal data
- clustering high dimensional data
- high dimensional datasets
- pattern recognition
- data distribution
- missing values
- high dimensional spaces
- feature selection
- original data
- input space
- supervised learning
- machine learning
- linear discriminant analysis
- feature space
- classification algorithm
- dimensional data
- model selection
- decision trees
- feature extraction
- nonlinear dimensionality reduction
- training set
- subspace learning
- high dimensional data sets
- class labels
- lower dimensional
- text data
- euclidean distance
- cross validation
- sparse representation
- support vector machine svm
- image classification
- support vector machine
- feature vectors
- computer vision
- learning algorithm
- real world
- neural network