Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output.
Hrang Kap LianKitsana WaiyamaiSlavakis KonstantinosChoochart HaruechaiyasakPublished in: KST (2024)
Keyphrases
- unsupervised learning
- clustering algorithm
- k means
- data clustering
- clustering method
- categorical data
- cluster analysis
- self organizing maps
- output space
- object recognition
- feature extraction
- high dimensional data
- prediction accuracy
- information theoretic
- graph theoretic
- hierarchical clustering
- selection strategy
- data mining tasks
- feature selection
- model selection
- temporal dimension
- discriminative features
- image segmentation
- selection algorithm
- fuzzy clustering
- document clustering
- outlier detection
- pairwise
- multi dimensional