Version 4.0.0 - RodentDataAnalytics/mwm-ml-gen GitHub Wiki
Synopsis
Major Changes
A number of new functionalities are available:
- Ability to label whole trajectories
- Ability to turn non-segmented trajectories into segments
- Ability to add custom class tags
- Ability to load custom computed trajectory features
- More analysis results including confidence intervals and classification statistics.
- Raw classification results are now exported for further custom analysis (or in case the Friedman test cannot be performed).
Minor Changes
- Fixed axes labels and file names.
- Better figure graphics.
- Some parts of the code have been re-written.
- Ability to read UTF16LE txt files.
Bugs and issues fixed
- New more robust classification methodology (see issue).
3rd party code
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detect_UTF_encoding.m written by Walter Roberson is being used to read UTF16LE txt files. Original code has minor modifications.
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This code chunk is being used to get special folder paths in Windows OS (for MAC OS java.lang.System.getProperty is being used).
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WekaUT - WekaUT contains a modified version of Weka. Some of the modifications include classes to handle semi-supervised clustering of text data.