{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.15.1",
  "conda_private": false,
  "conda_version": "4.5.11",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "dpryan79",
      "johanneskoester",
      "bgruening",
      "daler",
      "jdblischak"
    ]
  },
  "home": "https://CRAN.R-project.org/package=flexclust",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-2",
  "license_family": "GPL2",
  "root_pkgs": [
    "anaconda-client 1.7.1 py_0",
    "asn1crypto 0.24.0 py36_0",
    "attrs 18.2.0 py_0",
    "beautifulsoup4 4.6.3 py36_1000",
    "ca-certificates 2018.10.15 ha4d7672_0",
    "certifi 2018.10.15 py36_1000",
    "cffi 1.11.5 py36h945400d_0",
    "chardet 3.0.4 py36h420ce6e_1",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
    "conda 4.5.11 py36_1000",
    "conda-build 3.15.1 py36_0",
    "conda-env 2.6.0 h36134e3_1",
    "conda-forge-ci-setup 2.1.0 py36_0",
    "console_shortcut 0.1.1 h6bb2dd7_3",
    "cryptography 2.3.1 py36h74b6da3_1000",
    "decorator 4.3.0 py_0",
    "filelock 3.0.10 py_0",
    "glob2 0.6 py_0",
    "idna 2.6 py36h148d497_1",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10 py_1",
    "jsonschema 3.0.0a3 py36_1000",
    "jupyter_core 4.4.0 py_0",
    "markupsafe 1.1.0 py36hfa6e2cd_1000",
    "menuinst 1.4.14 py36hfa6e2cd_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.0.2p hfa6e2cd_1001",
    "pip 10.0.1 py36_0",
    "pkginfo 1.4.2 py_1",
    "psutil 5.4.8 py36hfa6e2cd_1000",
    "pycosat 0.6.3 py36h413d8a4_0",
    "pycparser 2.18 py36hd053e01_1",
    "pyopenssl 18.0.0 py36_0",
    "pyrsistent 0.14.6 py36hfa6e2cd_1000",
    "pysocks 1.6.8 py36_0",
    "python 3.6.5 h0c2934d_0",
    "python-dateutil 2.7.5 py_0",
    "pytz 2018.7 py_0",
    "pywin32 223 py36hfa6e2cd_1",
    "pyyaml 3.13 py36hfa6e2cd_1001",
    "requests 2.18.4 py36h4371aae_1",
    "ruamel_yaml 0.15.37 py36hfa6e2cd_2",
    "setuptools 39.2.0 py36_0",
    "six 1.11.0 py36h4db2310_1",
    "tqdm 4.28.1 py_0",
    "traitlets 4.3.2 py36_1000",
    "urllib3 1.22 py36h276f60a_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.15.26706 h3a45250_0",
    "wheel 0.31.1 py36_0",
    "wincertstore 0.2 py36h7fe50ca_0",
    "win_inet_pton 1.0.1 py36he67d7fd_1",
    "yaml 0.1.7 vc14_0"
  ],
  "summary": "The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.",
  "tags": []
}