A model of granular data: a design problem with the Tchebyschev-based clustering.
Andrzej BargielaWitold PedryczPublished in: FUZZ-IEEE (2002)
Keyphrases
- experimental data
- probabilistic model
- data points
- test data
- synthetic data
- data collection
- computational model
- simulation data
- measured data
- raw data
- objective function
- probability distribution
- prior knowledge
- input data
- data structure
- data sources
- statistical methods
- network structure
- high level
- clustering analysis
- predictive model
- empirical data
- data objects
- conceptual model
- image data
- data processing
- metamodel
- knowledge discovery
- end users
- unsupervised learning
- data mining tasks
- learning models
- conceptual framework
- user interface
- similarity function
- clustering method
- prior information
- high dimensional data
- case study
- missing data
- mathematical model