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lle

Locally linear embedding

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.

Functions (14)

calc_k

Calculation of the optimal number of neighbours.

find_coords

Calculate embedded data.

find_nn_eps

Find nearest neighbours in epsilon environment.

find_nn_k

Find k nearest neighbours.

find_weights

Calculate weight matrix.

lle

Locally linear embedding main function.

lle_rectangular

Example on a rectangular signal.

lle_scurve

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

lle_scurve_data

S-curve data

lle_sound

Example application on a soundfile.

lle_spiral

Example application on a n-dimensional spiral

lle_swissrole

Example application on a swissrole.

lle_wave

wavefile

plot_lle

Plot LLE results

lle

Locally linear embedding

v1.1
GPL-3
Authors
Holger Diedrich, Dr. Markus Abel (Department of Physics, University Potsdam)
Initial release
2012-03-21

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