CITATION.cff

# YAML 1.2
---
abstract: "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. "
authors:
  -
    affiliation: "Netherlands eScience Center"
    family-names: Nattino
    given-names: Francesco
    orcid: https://orcid.org/0000-0003-3286-0139
  -
    affiliation: "Netherlands eScience Center"
    family-names: Ku
    given-names: Ou
    orcid: https://orcid.org/0000-0002-5373-5209
  -
    affiliation: "Netherlands eScience Center"
    family-names: Grootes
    given-names: "Meiert W."
    orcid: https://orcid.org/0000-0002-5733-4795
  -
    affiliation: "Institute of Geomatics, Vienna BOKU"
    family-names: Izquierdo-Verdiguier
    given-names: Emma
    orcid: https://orcid.org/0000-0003-2179-1262
  -
    affiliation: "Faculty ITC - University of Twente"
    family-names: Girgin
    given-names: Serkan
    orcid: https://orcid.org/0000-0002-0156-185X
  -
    affiliation: "Faculty ITC - University of Twente"
    family-names: Zurita-Milla
    given-names: Raul
    orcid: https://orcid.org/0000-0002-1769-6310
cff-version: "1.2.0"
date-released: 2023-07-08
doi: "10.5281/zenodo.3979172"
keywords:
  - "clustering"
  - "co-clustering"
  - "tri-clustering"
  - "earth observation"
  - "distributed computing"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
title: "CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes"
version: "0.8.0"
...