cgre-aachen/bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Jupyter NotebookLGPL-3.0
Issues
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Add pip support
#31 opened by derTPK - 1
[2D] MCR calculation
#15 opened by alex-schaaf - 0
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2d coloring for uneven extent
#21 opened by alex-schaaf - 0
use numpy ndarrays for storage variables
#18 opened by alex-schaaf - 0
swappable sklearn classifiers
#23 opened by alex-schaaf - 0
Add a plot function for mixtures
#22 opened by hwang051785 - 0
evaluation function
#17 opened by alex-schaaf - 0
clean up/out jupyter notebooks
#14 opened by alex-schaaf - 1
MAP estimate of the segmentation
#11 opened by alex-schaaf - 0
storage for acceptance ratios
#19 opened by alex-schaaf - 0
storage for energy
#20 opened by alex-schaaf - 1
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function for label matching
#16 opened by alex-schaaf - 1
[2D] vectorized 8-stamp
#12 opened by alex-schaaf - 0
[2D/3D] anisotropic beta
#13 opened by alex-schaaf - 0
expand 2d pseudocoloring test
#8 opened by alex-schaaf - 0
diagnostics plot for 2d results
#7 opened by alex-schaaf - 0
requirements.txt file for dependecies
#9 opened by alex-schaaf - 0
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information entropy for results
#6 opened by alex-schaaf - 0
2D Gibbs energy calculation
#2 opened by alex-schaaf - 0
2D energy likelihood calculation
#3 opened by alex-schaaf