Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant.
Virgile FritschGaël VaroquauxBenjamin ThyreauJean-Baptiste PolineBertrand ThirionPublished in: MICCAI (3) (2011)
Keyphrases
- high dimensional
- high dimensional datasets
- outlier detection
- high dimensional data
- low dimensional
- dimensional data
- data sets
- inter subject
- human subjects
- human brain
- parameter space
- high dimensionality
- dimensionality reduction
- nearest neighbor
- database
- multi dimensional
- pairwise
- variable selection
- kernel function
- information processing
- similarity search
- gene expression data
- least squares
- brain images
- feature space
- data streams
- small sample size
- estimation problems