On the limits of clustering in high dimensions via cost functions.
Hoyt A. KoepkeBertrand S. ClarkePublished in: Stat. Anal. Data Min. (2011)
Keyphrases
- high dimensions
- high dimensional data
- cost function
- high dimensional
- high dimensional spaces
- clustering algorithm
- nearest neighbor
- k means
- dimensionality reduction
- data points
- clustering method
- high dimensionality
- image analysis
- data analysis
- neural network
- database
- indexing schemes
- poor quality
- dimensional data
- objective function
- real world
- data sets