Comments (8)
Sorry no, no videos.
Iām open to the idea of including videos, just never thought to make one. Is there something about videos that the written documentation would be insufficient for?
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I see
then maybe short code to understand main ideas?
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Have you tried looking at ripser.scikit-tda.org?
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yes , it is not clear what is it
Is it new kind if t-SNE
seems to be it is something interesting, but what is it?
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This paper is a great introduction to the general idea of persistent homology.
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looks good bu titi s too long for main idea description, so it is not something similar to t-SNE
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looks interesting thank, but on practice is it better than t-SNE or algorithms based on graphs
how this can help with standard AI problems like classification or visualization for multidimensional data?
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Related Issues (20)
- ValueError: numpy.ndarray size changed, may indicate binary incompatibility. HOT 7
- Build failure on GNU/Linux (GCC 11.1.0 and Python 3.9.6 on Arch Linux) HOT 3
- Jupyter notebook crash on input of large sparse distance matrix HOT 1
- [Suggestion] Throw exception when computing bottleneck distance
- Dead comments in 0-dimensional computation/preferential treatment of edges with zero value
- get_greedy_perm (Samples)
- Get the indices of the vectors forming a hole HOT 2
- Install Ripser on ArchLinux HOT 2
- ld: cannot find /lib64/libpthread.so.0
- `ValueError: numpy.ndarray size changed` HOT 5
- Failed to build ripser, error: subprocess-exited-with-error HOT 6
- Knowing required RAM to run ripser
- Unsuccessful installation HOT 2
- Is there a way to get ripser to use virtual memory? HOT 2
- Failed building wheel for Ripser on Win11 HOT 3
- ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject HOT 1
- Failed building wheel for ripser HOT 1
- Failing to generate H1 result with small dataset. HOT 1
- A potential issue with the `lower_star_img` function with negative numbers HOT 9
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