On the use of Wasserstein metric in topological clustering of distributional data.
Guénaël CabanesYounès BennaniRosanna VerdeAntonio IrpinoPublished in: CoRR (2021)
Keyphrases
- data processing
- data sets
- high quality
- data analysis
- training data
- experimental data
- original data
- data objects
- data mining techniques
- categorical data
- data points
- prior knowledge
- database
- data structure
- data distribution
- data mining
- metric space
- distance metric
- data mining tasks
- data mining algorithms
- sensor data
- synthetic data
- clustering method
- co occurrence
- data sources