.zenodo.json

{
  "creators": [
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Nattino, Francesco",
      "orcid": "0000-0003-3286-0139"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Ku, Ou",
      "orcid": "0000-0002-5373-5209"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Grootes, Meiert W.",
      "orcid": "0000-0002-5733-4795"
    },
    {
      "affiliation": "Institute of Geomatics, Vienna BOKU",
      "name": "Izquierdo-Verdiguier, Emma",
      "orcid": "0000-0003-2179-1262"
    },
    {
      "affiliation": "Faculty ITC - University of Twente",
      "name": "Girgin, Serkan",
      "orcid": "0000-0002-0156-185X"
    },
    {
      "affiliation": "Faculty ITC - University of Twente",
      "name": "Zurita-Milla, Raul",
      "orcid": "0000-0002-1769-6310"
    }
  ],
  "description": "Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensional geospatial data. The included tools allow the user to efficiently run tasks in parallel on local and distributed systems. ",
  "keywords": [
    "clustering",
    "co-clustering",
    "tri-clustering",
    "earth observation",
    "distributed computing"
  ],
  "license": {
    "id": "Apache-2.0"
  },
  "publication_date": "2023-07-08",
  "title": "CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes",
  "version": "0.8.0"
}