Constant Approximation for Individual Preference Stable Clustering.
Anders AamandJustin Y. ChenAllen LiuSandeep SilwalPattara SukprasertAli VakilianFred ZhangPublished in: CoRR (2023)
Keyphrases
- individual preferences
- clustering method
- clustering algorithm
- hierarchical clustering
- data clustering
- categorical data
- axis parallel
- k means
- spectral clustering
- unsupervised learning
- self organizing maps
- dissimilarity measure
- cluster analysis
- approximation error
- graph theoretic
- closed form
- data points
- document clustering
- error bounds
- neural network
- approximation algorithms
- information theoretic
- outlier detection
- data mining tasks
- high dimensional data
- decision making
- data mining