On the optimality of kernels for high-dimensional clustering.
Leena Chennuru VankadaraDebarghya GhoshdastidarPublished in: AISTATS (2020)
Keyphrases
- high dimensional
- clustering algorithm
- data points
- feature space
- high dimensional data
- high dimensionality
- high dimensional data sets
- k means
- high dimensional datasets
- low dimensional
- kernel function
- clustering method
- dimensionality reduction
- self organizing maps
- data clustering
- multi dimensional
- sparse data
- cluster analysis
- categorical data
- hierarchical clustering
- spectral clustering
- document clustering
- support vector
- unsupervised learning
- graph kernels
- distance metric
- information theoretic
- data sets
- objective function
- optimal solution