Man pages for intrinsicDimension
Intrinsic Dimension Estimation
| addNoise | Add Noise to Data Set |
| asPointwise | Turn a local estimator into a pointwise estimator |
| bs | Dimension Estimation With Optimally Topology Preserving Maps |
| cornerPlane | Corner Plane |
| cuthplane | Piece of Noisy Hyperplane |
| cuthsphere | Piece of Noisy Hypersphere |
| DANCo | Dimension Estimation With the DANCo and MIND Methods |
| ESS | Expected Simplex Skewness Local Dimension Estimation |
| essReference | ESS Reference Values |
| hcube | Hypercube |
| ide | Intrinsic Dimension Estimation |
| intrinsicDimension-package | Intrinsic Dimension Estimation and Data on Manifolds |
| kNN | Dimension Estimation from kNN Distances |
| lpca | Local Dimension Estimation with PCA |
| maxLik | Dimension Estimation via Translated Poisson Distributions |
| M_hein | 12-dimensional manifold from Hein and Audibert (2005) |
| M_rozza | Manifolds from Rozza et al. (2012) |
| neighborhoods | Obtaining neighborhoods (local data) from a data set |
| Noisefun | Transition Functions Describing Noise |
| oblong | Oblong Normal Distribution |
| Spherical | Isotropic Distributions With or Without Noise |
| swissRoll | Swiss roll with or without 3-sphere inside |
| twinPeaks | Twin Peaks |
