Reliable Clustering Quality Estimation from Low to High Dimensional Data.
Jean-Charles LamirelPublished in: WSOM (2016)
Keyphrases
- high dimensional data
- quality estimation
- high dimensionality
- nearest neighbor
- high dimensional
- dimensionality reduction
- subspace clustering
- data points
- low dimensional
- data sets
- clustering high dimensional data
- high dimensions
- similarity search
- high dimensional data sets
- high dimensional datasets
- data analysis
- input space
- dimension reduction
- linear discriminant analysis
- nonlinear dimensionality reduction
- sparse representation
- lower dimensional
- quality metrics
- outlier detection
- dimensional data
- clustering algorithm
- high dimensional data analysis
- document clustering
- euclidean distance
- clustering method
- input data
- principal component analysis
- high resolution
- k means
- computational complexity
- face recognition