Efficient, Certifiably Optimal High-Dimensional Clustering.
Carson EisenachHan LiuPublished in: CoRR (2018)
Keyphrases
- high dimensional
- high dimensional data
- data points
- high dimensionality
- clustering algorithm
- clustering method
- dimensionality reduction
- cost effective
- dynamic programming
- hierarchical clustering
- nearest neighbor
- worst case
- multi dimensional
- computationally efficient
- optimal solution
- similarity search
- distance metric
- computationally expensive
- high dimensional data sets
- anomaly detection
- spectral clustering
- data clustering
- similarity function
- manifold learning
- document clustering
- data sets
- low dimensional
- k means
- feature space
- website
- feature selection