Published January 24, 2023 | Version v1
Workflow Open

Supplementary materials for "Generating Multidimensional Clusters With Support Lines"

  • 1. Lusófona University, COPELABS

Description

Supplementary materials for "Generating Multidimensional Clusters With Support Lines"

Overview

This Julia project contains the following files:

  • .JuliaFormatter.toml - Formatting rules for the included code.
  • example.ipynb- Code for the usage example presented in the paper.
  • figures.ipynb - Code for generating the figures for the paper.
  • LICENSE_CODE.txt - The license for the included code.
  • LICENSE_OTHER.txt - The license for the included non-code materials.
  • Manifest.toml - Exact versions of Julia packages used in running the included notebooks.
  • Project.toml - Julia packages required for running the included notebooks.
  • README.md - This file.
  • test_deterministic.ipynb - Check which of the used clustering algorithm implementations are deterministic.

Reproducibility of results

The results presented in the research paper "Generating Multidimensional Clusters With Support Lines", can be reproduced with the Jupyter notebooks included with this Julia project.

Licenses

The code in the Jupyter Notebooks is made available under the MIT license (see LICENSE_CODE.txt).

The non-code materials are made available under a CC-BY 4.0 license (see LICENSE_OTHER.txt).

Files

example.ipynb

Files (183.0 MB)

Name Size Download all
md5:a267124688dc78255a3a04f979e60694
14 Bytes Download
md5:e280cea751823a75fb47133f63c0b672
4.3 MB Preview Download
md5:1abbbea3d7fbba68d8cfa6d4ff89e0fd
177.7 MB Preview Download
md5:7aff3a2773f9c831cb34e33c63a948f1
1.1 kB Preview Download
md5:aed285cc7b9df25a76f5e248b5e1ffc2
296 Bytes Preview Download
md5:77af084ac6e2e6df46df241f72e863e0
41.7 kB Download
md5:345bc4280af2448d457513ffa848edf9
744 Bytes Download
md5:62591bad7762f4484d04f39d214ed98e
1.3 kB Preview Download
md5:e6270742b1c5cf8bfef4626c4ac5515c
934.1 kB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1016/j.knosys.2023.110836 (DOI)
Preprint: 10.48550/arXiv.2301.10327 (DOI)

Funding

UIDB/04111/2020 – COPELABS - Cognitive and People-centric Computing R&D Unit UIDB/04111/2020
Fundação para a Ciência e Tecnologia