The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data.
Tom HowleyMichael G. MaddenMarie-Louise O'ConnellAlan G. RyderPublished in: Knowl. Based Syst. (2006)
Keyphrases
- spectral data
- machine learning
- principal component analysis
- principal components
- high dimensional
- dimensionality reduction
- low dimensional
- high accuracy
- dimension reduction
- feature space
- covariance matrix
- discriminant analysis
- correlation coefficient
- pattern recognition
- face recognition
- variable selection
- random projections
- data sets
- proteomic data
- singular value decomposition
- classification accuracy
- data analysis
- data mining
- unsupervised learning
- independent component analysis
- image data
- decision trees
- image processing
- partial least squares
- learning algorithm