asPointwise: Turn a local estimator into a pointwise estimator
In intrinsicDimension: Intrinsic Dimension Estimation

Description Usage Arguments Details Value Author(s) Examples

Returns a function that can be used as a pointwise estimator of intrinsic dimension that uses local data sets with a fixed number of data points.

1	asPointwiseEstimator(estimator, neighborhood.size, indices=NULL, eps=0.0)

`estimator`	A local intrinsic dimension estimator.
`neighborhood.size`	The number of neighbors used for each dimension estimate.
`indices`	A vector with indices of the points in `data` (as sent to the estimator function) that should be used as center for neighborhoods.
`eps`	If non-zero, the relative error in distance allowed when finding nearest neighbors. See Details.

The ann function of the package yaImpute is used for finding the k nearest neighbors. The eps parameter to neighborhoods is used in the ann function.

A function that can be used as a pointwise dimension estimator.

Kerstin Johnsson, Lund University

data <- swissRoll3Sph(300, 300) 
 # the first 300 data points are on the swiss roll (ID=2) , the last 300 on the 3-sphere (ID=3)
essPointwiseDimEst <- asPointwiseEstimator(essLocalDimEst, neighborhood.size=10,
                                           indices = c(1:10, 301:310))
ess.pw.res <- essPointwiseDimEst(data)
ess.pw.res$dim.est