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: SGAI Conf. (Applications) (2005)
Keyphrases
- spectral data
- machine learning
- principal component analysis
- principal components
- high dimensional
- dimensionality reduction
- low dimensional
- feature space
- dimension reduction
- face recognition
- partial least squares
- data mining
- classification accuracy
- high dimensionality
- independent component analysis
- proteomic data
- face images
- decision trees
- correlation coefficient
- learning algorithm