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Version 4.0.0
Avgoustinos Vouros edited this page Jul 30, 2017
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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).
- Fixed axes labels and file names.
- Better figure graphics.
- Some parts of the code have been re-written.
- Ability to read UTF16LE txt files.
- New more robust classification methodology (see issue).
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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.
Introduction
How to Use
- Getting started
- Data preparation
- Starting a new project
- The Segmentation process
- The Labelling process
- The Classification process
- Results
- Walkthrough
- Extras
Appendix
Version History
How to Use (version 3)
- Getting started
- Data preparation
- Starting a new project
- The Segmentation process
- The Labelling process
- The Classification process
- Results
- Extras
- List of Labels
- Flowcharts
- The Project Folder
How to Use (version 1 and 2)