A novel support vector classifier for longitudinal high-dimensional data and its application to neuroimaging data.
Shuo ChenF. DuBois BowmanPublished in: Stat. Anal. Data Min. (2011)
Keyphrases
- high dimensional data
- data sets
- data points
- support vector
- high dimensions
- original data
- nearest neighbor
- training data
- data distribution
- data analysis
- low dimensional
- high dimensional
- dimensional data
- input data
- high dimensionality
- similarity search
- subspace clustering
- linear discriminant analysis
- knowledge discovery
- database
- support vector machine
- input space
- high dimensional data sets
- high dimensional datasets
- image data
- text data
- dimensionality reduction
- missing values
- training examples
- dimension reduction
- complex data
- multi dimensional
- high dimensional spaces
- svm classifier
- training set
- decision trees