Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes.
Sebastian PorebskiEwa StraszeckaPublished in: CORES (2019)
Keyphrases
- clustering algorithm
- high quality
- association rules
- quantitative measures
- higher quality
- expert systems
- training set
- decision rules
- temporal dimension
- hierarchical clustering
- diagnostic tool
- neural network
- unsupervised clustering
- production rules
- quality measures
- cluster analysis
- hierarchical structure
- high dimensional