{
    "info": {
        "author": "Uwe Schmitt",
        "author_email": "uschmitt@mineway.de",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Financial and Insurance Industry",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "Operating System :: Microsoft :: Windows",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "*I fixed some errors and built two Linux versions.*\r\n\r\nAbout ICA:\r\n\r\nIndependent Componnent Analysis (ICA) is a modern and effective method for\r\nperforming blind Source separation (also known as Cocktail Party Problem).\r\nFields of application are artifact reduction in multivariate data (eg EEG or\r\nMEG), finding hidden factors in financial data or noise reduction in images.\r\nFurther ICA can be used to simplify and improve the solution of the inverse\r\nsource problem in EEG and MEG analysis.\r\n\r\nAs I found no Python module for performing ICA, I wrapped the existing extended\r\ninfomax implementation from EEGLAB.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "http://www.procoders.net/?p=30",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://www.procoders.net/?p=111",
        "keywords": "ICA multivariate signalanalysis cocktailparty bss source separation",
        "license": "",
        "maintainer": "",
        "maintainer_email": "uschmitt@mineway.de",
        "name": "py_ica",
        "package_url": "https://pypi.org/project/py_ica/",
        "platform": "Windows, Linux 32 Bit, Linux 64 Bit",
        "project_url": "https://pypi.org/project/py_ica/",
        "project_urls": {
            "Download": "http://www.procoders.net/?p=30",
            "Homepage": "http://www.procoders.net/?p=111"
        },
        "release_url": "https://pypi.org/project/py_ica/1.1/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Python Module for performing Extended Infomax ICA",
        "version": "1.1"
    },
    "last_serial": 61934,
    "releases": {
        "1.0": [],
        "1.1": []
    },
    "urls": []
}