The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation.
Ulrike SchneiderPatrick TardivelPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- clustering algorithm
- k means
- clustering method
- least squares
- categorical data
- hierarchical clustering
- data clustering
- high dimensional
- maximum likelihood
- unsupervised learning
- density estimation
- fuzzy clustering
- loss function
- spectral clustering
- document clustering
- cluster analysis
- parameter estimation
- distance metric
- search engine
- high dimensional data
- probability density function
- anomaly detection
- sufficient conditions
- data mining tasks
- estimation process