the median distance to the k-th nearest neighbour of a subsample, the radius CLASSIX suggests
Syntax
r = knnRadius(X)
The median distance to the tenth neighbour.
r = knnRadius(X, k=5)
To the fifth neighbour.
r = knnRadius(X, sub=500)
Over a subsample of 500 points.
Description
The neighbours are searched among all points, the distances taken at a subsample spread evenly over the list. A list of k + 1 points or fewer gives 1.
Input
X |
(n, d) array, the points |
Keywords
| keyword | default | description |
|---|---|---|
k |
10 |
the neighbour whose distance is taken |
sub |
1500 |
the number of points the median is taken over; a shorter list is taken whole |
Output
r |
float, the median distance |
See also
source
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/knnRadius_py.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.