Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares.
Edith Le FlochPhilippe PinelArthur TenenhausLaura TrincheraJean-Baptiste PolineVincent FrouinEdouard DuchesnayPublished in: ISBI (2012)
Keyphrases
- dimension reduction
- partial least squares
- high dimensional
- high dimensional data
- data sets
- data points
- dimensionality reduction
- high dimensionality
- training data
- data analysis
- low dimensional
- feature selection
- spectral data
- random projections
- feature extraction
- image processing
- principal component analysis
- model selection
- unsupervised learning
- variable selection
- computer vision
- image data
- association rules
- feature space
- pattern recognition
- missing data
- kernel function
- high dimensional problems