Curvilinear Component Analysis for High-Dimensional Data Representation: I. Theoretical Aspects and Practical Use in the Presence of Noise.
Jeanny HéraultClaire Jausions-PicaudAnne Guérin-DuguéPublished in: IWANN (2) (1999)
Keyphrases
- data representation
- component analysis
- high dimensional
- dimensionality reduction
- factor analysis
- blind source separation
- low dimensional
- data representations
- subspace learning
- data points
- nearest neighbor
- high dimensional data
- similarity search
- missing data
- computer vision
- manifold learning
- feature space
- xml documents
- linear discriminant analysis
- unsupervised learning
- knowledge discovery
- relational databases
- pattern recognition
- data mining