Scaling Log-Linear Analysis to High-Dimensional Data.
François PetitjeanGeoffrey I. WebbAnn E. NicholsonPublished in: ICDM (2013)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- subspace clustering
- log linear
- similarity search
- data points
- input space
- training data
- unsupervised learning
- feature extraction
- decision trees
- manifold learning
- image processing
- probabilistic modeling
- machine learning