A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates.
Akifumi OkunoKohei HattoriPublished in: CoRR (2022)
Keyphrases
- clustering algorithm
- k means
- clustering method
- cluster analysis
- unsupervised learning
- regression model
- information theoretic
- feature selection
- hierarchical clustering
- data points
- inherent uncertainty
- categorical data
- similarity function
- search algorithm
- self organizing maps
- outlier detection
- graph theoretic
- sample size
- logistic regression
- least squares
- spectral clustering
- search space
- greedy algorithm
- fuzzy clustering
- website
- decision theory
- greedy heuristic
- neural network