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lle (version 1.1)

Locally linear embedding

Description

LLE is a non-linear algorithm for mapping high-dimensional data into a lower dimensional (intrinsic) space. This package provides the main functions to performs the LLE alogrithm including some enhancements like subset selection, calculation of the intrinsic dimension etc.

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Version

Install

install.packages('lle')

Monthly Downloads

28

Version

1.1

License

GPL-3

Maintainer

Holger Diedrich

Last Published

March 21st, 2012

Functions in lle (1.1)

find_weights

Calculate weight matrix.
lle_spiral

Example application on a n-dimensional spiral
lle_scurve_data

S-curve data
lle_rectangular

Example on a rectangular signal.
find_nn_k

Find k nearest neighbours.
plot_lle

Plot LLE results
find_coords

Calculate embedded data.
find_nn_eps

Find nearest neighbours in epsilon environment.
lle

Locally linear embedding main function.
lle_wave

wavefile
lle_swissrole

Example application on a swissrole.
calc_k

Calculation of the optimal number of neighbours.
lle_sound

Example application on a soundfile.
lle_scurve

Example application on a three-dimensional S-curve dataset.