Skip to content

Latest commit

 

History

History
54 lines (44 loc) · 1.73 KB

README.md

File metadata and controls

54 lines (44 loc) · 1.73 KB
Raw

Multiway-Algorithms PARAFAC Comparison Test

To compare the multiway-algorithms PARAFAC implementation with the matlab nway toolbox run the following step:

  1. Initialize the mutliway-algorithms and nway-toolbox local installations by running

    $ bash init.sh

    This should clone the latest multiway-algorithms develop branch and the nway repository

  2. Run the nway PARAFAC implementation:

    $ bash run-nway-toolbox-parafac.sh

    Results in:

    Loss =

  413.6739

  3. Run the multiway-algorithms PARAFAC implementation:

    $ bash run-multiway-alg-parafac.sh

    Results in:

    [INFO ] 18:14:11.388 [Main.main()] Main - Loss = 413.9942821962213

The data can be found in matlab/Fluorescence\ EEMs/ as .dat files or in data/ as .csv files. The matlab script matlab/generate_data_dir.m generates the .csv files.

Algorithm Setup

Both runs are started with the same options:

Option Value
number of components 4..10
max. iterations 2500
improvement tolerance threshold 10e-6
init method {random orthogonalized matrices, SVD}

Results

number of components nway loss (random orth. init) mwa loss (random orth. init) nway loss (SVD init) mwa loss (SVD init)
3 562.3193 562.6590 562.3179 562.9468
4 413.7502 413.9942 413.7559 414.0267
5 306.6297 307.1157 306.691 310.7814
6 217.8061 218.3507 217.7974 218.0926
7 175.0781 175.6058 175.0551 175.9703
8 144.0486 145.9342 143.9903 145.5471
9 122.1815 126.5388 122.2394 122.3786
10 104.1776 109.5957 104.1796 107.6224