Possible instability of FastICA with all default settings
Hi,
The FastICA seems to produce different results on repeated runs with the same input data. Here is a simple example:
Input:
X1 X2 X3
1 1 1
2 3 2
3 1 3
2 3 4
1 1 5
Experiment:
<operator name="Root" class="Process" expanded="yes">
<operator name="ExampleSource" class="ExampleSource">
<parameter key="attributes" value="H:\ICA\dummy.aml"/>
</operator>
<operator name="FastICA" class="FastICA">
</operator>
</operator>
Repeated runs of this experiment output completely different results in the log.
Are there any tricks regarding the ICA settings that would make the results reproducible?
Victor
The FastICA seems to produce different results on repeated runs with the same input data. Here is a simple example:
Input:
X1 X2 X3
1 1 1
2 3 2
3 1 3
2 3 4
1 1 5
Experiment:
<operator name="Root" class="Process" expanded="yes">
<operator name="ExampleSource" class="ExampleSource">
<parameter key="attributes" value="H:\ICA\dummy.aml"/>
</operator>
<operator name="FastICA" class="FastICA">
</operator>
</operator>
Repeated runs of this experiment output completely different results in the log.
Are there any tricks regarding the ICA settings that would make the results reproducible?
Victor