Principal component analysis of measures, with special emphasis on grain-size curves.
Claude MantéAnne-Françoise YaoClaude DegiovanniPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- grain size
- principal component analysis
- spatial distribution
- principal components
- independent component analysis
- thin film
- dimensionality reduction
- planar curves
- machine learning
- feature extraction
- neural classifier
- digital curves
- lower dimensional
- evaluation measures
- spatial information
- low dimensional
- signal processing
- input image
- genetic algorithm