Intrinsic dimension and its application to association rules.
Tom HanikaFriedrich Martin SchneiderGerd StummePublished in: CoRR (2018)
Keyphrases
- intrinsic dimension
- association rules
- high dimensions
- intrinsic dimensionality
- data mining
- nearest neighbor
- high dimensional data
- diffusion maps
- dimension reduction
- knowledge discovery
- data distribution
- neural network
- low dimensional
- data mining techniques
- knn
- dimensionality reduction
- unsupervised learning
- similarity search
- manifold learning
- similarity measure
- feature selection