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Update notebook
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Michael Catanzaro committed Nov 7, 2023
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"The experiment is to determine if persistent homology can distinguish between spheres of different dimensions. Here we restrict to differentiating $S^2$ from $S^3$. We will further restrict ourselves to persistent homology in degree one (but one can use all relevant homological degrees as well). A priori, we would not expect this to be an effective discriminator, since the ordinary first homology of both spheres is trivial. Note that this is a simplified version of the experiment from Bubenik and Dlotko's *A persistence landscapes toolbox for topological statistics* [1]. \n",
"\n",
"In detail: \n",
"\n",
"- Repeat the following `num_runs = 100` times:\n",
" - Sample `num_pts = 100` points from the 2-sphere and the 3-sphere. We rescale the spheres so the average distance between the points on each sphere is approximately 1.\n",
" - Compute the VR persistent homology (using `ripser`) and compute the associated landscapes. Store each of these landscapes.\n",
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
"version": "3.12.0"
}
},
"nbformat": 4,
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