A method to detect distinctive features from boundary data.
Kentarou YamagishiPublished in: Systems and Computers in Japan (1991)
Keyphrases
- distinctive features
- synthetic data
- data sets
- prior knowledge
- input data
- test data
- statistical methods
- data processing
- cross section
- detection method
- high accuracy
- cost function
- data analysis
- data sources
- computational cost
- similarity measure
- data quality
- statistical analysis
- preprocessing
- high precision
- computational complexity
- database
- correlation analysis
- information loss
- noisy data
- raw data
- segmentation method
- clustering method
- training samples
- data distribution
- attribute values
- training data
- spectral clustering
- association rules
- significant improvement
- knowledge discovery
- data points
- probabilistic model