{
    "info": {
        "author": "Givanna Putri",
        "author_email": "ghar1821@uni.sydney.edu.au",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# ChronoClust\n\nA clustering algorithm that will perform clustering on each of a time-series of discrete (not a data stream... yet) datasets, and explicitly track the evolution of clusters over time. \n\nIf you use the ChronoClust algorithm, please cite the associated publication:\n\n>ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data. Givanna H. Putri, Mark N. Read, Irena Koprinska, Deeksha Singh, Uwe Rohm, Thomas M. Ashhurst, Nick J.C. King. Accepted to Knowledge Based Systems, 2019.\n\nDOI: https://doi.org/10.1016/j.knosys.2019.02.018\n\nTo run the project you will require the following packages for python 3:\n1. pandas\n2. numpy\n3. scipy\n4. scikit-learn\n5. pickle\n6. tqdm\n7. deprecation\n\n## Who do I talk to?\n* Givanna Putri ghar1821@sydney.edu.au\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://ghar1821.github.io/Chronoclust/",
        "keywords": "",
        "license": "GPL-3.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "chronoclust",
        "package_url": "https://pypi.org/project/chronoclust/",
        "platform": "",
        "project_url": "https://pypi.org/project/chronoclust/",
        "project_urls": {
            "Homepage": "https://ghar1821.github.io/Chronoclust/"
        },
        "release_url": "https://pypi.org/project/chronoclust/0.1/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "A clustering algorithm that will perform clustering on each of a time-series of discrete datasets, and explicitly track the evolution of clusters over time.",
        "version": "0.1"
    },
    "last_serial": 5632684,
    "releases": {
        "0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b44acf6a9b7df7e4435b304c9b7cb829",
                    "sha256": "676eb31833af2f86d9e17573c4de3448e8dccca395b7cf117241380c966e4884"
                },
                "downloads": -1,
                "filename": "chronoclust-0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b44acf6a9b7df7e4435b304c9b7cb829",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 35985,
                "upload_time": "2019-08-05T05:48:00",
                "url": "https://files.pythonhosted.org/packages/29/76/d80e16c1dde10b904d059f188f59c5a9b422ccb70a732f5da9c79c4d6008/chronoclust-0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d4b57241efc61e2c8c34bd8a8429abe8",
                    "sha256": "fa36a3c6a158a08cc4d9a5e2aefbb866b9e4ccd1e8dca5bdd43b3c50de7bd84a"
                },
                "downloads": -1,
                "filename": "chronoclust-0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "d4b57241efc61e2c8c34bd8a8429abe8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 20706,
                "upload_time": "2019-08-05T05:48:03",
                "url": "https://files.pythonhosted.org/packages/21/46/caa9a515b579a986b275c5d242a749ec0d5520a6d9d12be058219bd43b2e/chronoclust-0.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "b44acf6a9b7df7e4435b304c9b7cb829",
                "sha256": "676eb31833af2f86d9e17573c4de3448e8dccca395b7cf117241380c966e4884"
            },
            "downloads": -1,
            "filename": "chronoclust-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "b44acf6a9b7df7e4435b304c9b7cb829",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 35985,
            "upload_time": "2019-08-05T05:48:00",
            "url": "https://files.pythonhosted.org/packages/29/76/d80e16c1dde10b904d059f188f59c5a9b422ccb70a732f5da9c79c4d6008/chronoclust-0.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "d4b57241efc61e2c8c34bd8a8429abe8",
                "sha256": "fa36a3c6a158a08cc4d9a5e2aefbb866b9e4ccd1e8dca5bdd43b3c50de7bd84a"
            },
            "downloads": -1,
            "filename": "chronoclust-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "d4b57241efc61e2c8c34bd8a8429abe8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 20706,
            "upload_time": "2019-08-05T05:48:03",
            "url": "https://files.pythonhosted.org/packages/21/46/caa9a515b579a986b275c5d242a749ec0d5520a6d9d12be058219bd43b2e/chronoclust-0.1.tar.gz"
        }
    ]
}