neighborhoods: Obtaining neighborhoods (local data) from a data set

In intrinsicDimension: Intrinsic Dimension Estimation

Description

Get a list of neighborhoods, each containing the k nearest neighbors (not including itself) to a point in the data set.

Usage

neighborhoods(data, k, indices, eps=0.0)

Arguments

data	A data set.
k	The number of neighbors in each neighborhood.
indices	A vector with indices of the points in data that should be used as center for neighborhoods.
eps	If non-zero, the relative error in distance allowed when finding nearest neighbors. See Details.

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.

Value

A list of neighborhoods where each item corresponds to one index in indices and each item contains a data set with k data points.

Author(s)

Kerstin Johnsson, Lund University

Examples

data <- swissRoll3Sph(300, 300)
neighborhoods(data, 10, 1:10)

intrinsicDimension documentation built on June 7, 2019, 5:02 p.m.