This Python module provides robust methods for estimating the Correlation Dimension of any given dataset, leveraging the CorrDim algorithm, and includes additional functions such as packing_numbers and local_dim for comprehensive dimensionality analysis. Suitable for applications in fractal dimensions, chaos theory, and complex data analysis.
Raw data
{
"_id": null,
"home_page": "",
"name": "CorrDim-By-Bisca",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "correlation dimension,CorrDim algorithm,fractal analysis,chaos theory,data analysis,NumPy,SciPy,multidimensional scaling,time-series analysis,packing numbers,local dimension",
"author": "Eng. Alberto Biscalchin",
"author_email": "biscalchin.mau.se@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/d3/83/5c134f9f8a03d43b1c2f9bc6da78405309fc53b3efb63ef809f18cce8d5a/CorrDim_By_Bisca-0.0.3.tar.gz",
"platform": null,
"description": "This Python module provides robust methods for estimating the Correlation Dimension of any given dataset, leveraging the CorrDim algorithm, and includes additional functions such as packing_numbers and local_dim for comprehensive dimensionality analysis. Suitable for applications in fractal dimensions, chaos theory, and complex data analysis.\r\n",
"bugtrack_url": null,
"license": "",
"summary": "Python module for dimensionality analysis using CorrDim and related algorithms",
"version": "0.0.3",
"project_urls": null,
"split_keywords": [
"correlation dimension",
"corrdim algorithm",
"fractal analysis",
"chaos theory",
"data analysis",
"numpy",
"scipy",
"multidimensional scaling",
"time-series analysis",
"packing numbers",
"local dimension"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "7ba7b49f58039a80ad5954fc79481b05225c920e9260159c9c485e18404104f4",
"md5": "fa4d7419bc832f379d3bacd2c3bedc2e",
"sha256": "5b5d9b02483e2a47cedd348c2cba7a5c260101f479ac8d153ef0cdcda652c681"
},
"downloads": -1,
"filename": "CorrDim_By_Bisca-0.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "fa4d7419bc832f379d3bacd2c3bedc2e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 18383,
"upload_time": "2024-02-09T20:47:07",
"upload_time_iso_8601": "2024-02-09T20:47:07.982995Z",
"url": "https://files.pythonhosted.org/packages/7b/a7/b49f58039a80ad5954fc79481b05225c920e9260159c9c485e18404104f4/CorrDim_By_Bisca-0.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d3835c134f9f8a03d43b1c2f9bc6da78405309fc53b3efb63ef809f18cce8d5a",
"md5": "fdb8e0bd76252d3dcb202bc29c69d71e",
"sha256": "0768db4deb448144cc7422aa56ff2af3d5a78331ae814bc6056163a8c8e068c5"
},
"downloads": -1,
"filename": "CorrDim_By_Bisca-0.0.3.tar.gz",
"has_sig": false,
"md5_digest": "fdb8e0bd76252d3dcb202bc29c69d71e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 17889,
"upload_time": "2024-02-09T20:47:09",
"upload_time_iso_8601": "2024-02-09T20:47:09.575132Z",
"url": "https://files.pythonhosted.org/packages/d3/83/5c134f9f8a03d43b1c2f9bc6da78405309fc53b3efb63ef809f18cce8d5a/CorrDim_By_Bisca-0.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-02-09 20:47:09",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "corrdim-by-bisca"
}
JSON