{ "info": { "author": "David Perez Delgado", "author_email": "cathan.89@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "A library that allows to use the K-Means algorithm using having the possibility to choose between multiple metrics to calculate the distance between the data points in the feature space.", "description_content_type": "", "docs_url": null, "download_url": "https://github.com/dperede/KMeans-Multidistance/archive/v1.0.2.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/dperede/KMeans-Multidistance", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "KMeans-Multidistance", "package_url": "https://pypi.org/project/KMeans-Multidistance/", "platform": "", "project_url": "https://pypi.org/project/KMeans-Multidistance/", "project_urls": { "Download": "https://github.com/dperede/KMeans-Multidistance/archive/v1.0.2.tar.gz", "Homepage": "https://github.com/dperede/KMeans-Multidistance" }, "release_url": "https://pypi.org/project/KMeans-Multidistance/1.0.2/", "requires_dist": null, "requires_python": "", "summary": "K-Means implementation with multiple distance choices", "version": "1.0.2" }, "last_serial": 4870984, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "5328ab675066a7e6ef10ad81398349f9", "sha256": "6cc2a93b9de91e51be98c67bc33f8672469eb0f0e8eb55e6f163b600cbd300c7" }, "downloads": -1, "filename": "KMeans-Multidistance-1.0.0.tar.gz", "has_sig": false, "md5_digest": "5328ab675066a7e6ef10ad81398349f9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3327, "upload_time": "2019-02-25T18:06:11", "url": "https://files.pythonhosted.org/packages/1f/da/612b2d0bf7e8ac24e64fd7786d33f96b917aeef021934f70ae0f05ce4186/KMeans-Multidistance-1.0.0.tar.gz" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "6e6b98e877115345fd410725e1e54d22", "sha256": "9b4d50de605beccfb26605ef9745a74f3a755580c831bf80688ebd47dae8c1a9" }, "downloads": -1, "filename": "KMeans-Multidistance-1.0.1.tar.gz", "has_sig": false, "md5_digest": "6e6b98e877115345fd410725e1e54d22", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3107, "upload_time": "2019-02-26T18:05:09", "url": "https://files.pythonhosted.org/packages/63/c6/d199febd4ed4d36ea61151603d3364f4d50df73c02002c89692d8c31218a/KMeans-Multidistance-1.0.1.tar.gz" } ], "1.0.2": [ { "comment_text": "", "digests": { "md5": "b1420f734b7134979dc370f693b2f8ef", "sha256": "b732f59c3b8220767cb8344b485f3a9637ac55f1a0e8c5c066e00938c5ec1387" }, "downloads": -1, "filename": "KMeans-Multidistance-1.0.2.tar.gz", "has_sig": false, "md5_digest": "b1420f734b7134979dc370f693b2f8ef", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3322, "upload_time": "2019-02-26T18:30:52", "url": "https://files.pythonhosted.org/packages/f9/c0/1a206b892faac1fedde750b8301475d7aed11ccdee95fbea3583999dc1bd/KMeans-Multidistance-1.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "b1420f734b7134979dc370f693b2f8ef", "sha256": "b732f59c3b8220767cb8344b485f3a9637ac55f1a0e8c5c066e00938c5ec1387" }, "downloads": -1, "filename": "KMeans-Multidistance-1.0.2.tar.gz", "has_sig": false, "md5_digest": "b1420f734b7134979dc370f693b2f8ef", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3322, "upload_time": "2019-02-26T18:30:52", "url": "https://files.pythonhosted.org/packages/f9/c0/1a206b892faac1fedde750b8301475d7aed11ccdee95fbea3583999dc1bd/KMeans-Multidistance-1.0.2.tar.gz" } ] }