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1.3 KiB
1.3 KiB
TODO:
- Port over and improve clusterview and it's opengl stuff. It should use k-means point and cluster, as well as the math library from kmeans (add a test to dist). Additionally, the point and cluster of the clusterview should inherit from k-means point and cluster so that it can use the algorithm correctly. All other aspects of point and cluster in the clusterview program can be kept.
- See note in opengl_widget. Make it a static class.
- Do the same thing you did for opengl_widget in mode_handlers, leave the MODE_HANDLERS constant global.
- Port over all tests from clusterview except the math tests. Improve point tests to include weight.
- Turn kmeans into a python package and import it here.
- Add a property to the point called weight, which is set when you click edit point. It will give a popup that allows you to specify a point weight. DEFAULT WEIGHT IS 1
- Use kmeans to do the stuff - strip down point x y to refer to it's kmeans parent.
- Weighted cluster mean is rendered as a hollow circle and unweighted k-means mean is a x.
- Saving should save the weights, load should load the weights.
- Make the current context exception string in opengl widget a constant and use that instead.
- Add typing to every function except setters and XYZ functions (init can still have typing)