Opening the Black Box of Feature Extraction: Incorporating Visualization into High-Dimensional Data Mining Processes.
Jianting ZhangLe GruenwaldPublished in: ICDM (2006)
Keyphrases
- black box
- data mining processes
- high dimensional
- feature extraction
- dimensionality reduction
- dimension reduction
- feature space
- data mining problems
- manifold learning
- black boxes
- case study
- low dimensional
- white box
- kernel principal component analysis
- machine learning
- feature vectors
- high dimensional data
- similarity search
- image processing
- data points
- face recognition
- hybrid systems
- integration testing
- white box testing
- test cases
- preprocessing
- feature selection
- linear discriminant analysis
- principal component analysis
- data analysis
- neural network
- databases
- nearest neighbor