https://github.com/efthymioscosta/fullfactorialmixedclustering
This repository includes the R code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).
https://github.com/efthymioscosta/fullfactorialmixedclustering
benchmarking-study cluster-analysis clustering full-factorial mixed-data
Last synced: 9 months ago
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This repository includes the R code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).
- Host: GitHub
- URL: https://github.com/efthymioscosta/fullfactorialmixedclustering
- Owner: EfthymiosCosta
- Created: 2022-01-26T16:43:21.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-04T12:46:01.000Z (over 4 years ago)
- Last Synced: 2025-07-04T23:05:28.168Z (11 months ago)
- Topics: benchmarking-study, cluster-analysis, clustering, full-factorial, mixed-data
- Language: R
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods
This repository includes the code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", submitted as the first mini-project for the StatML CDT.
* Author: Efthymios Costa
* Supervisors:
* Dr. Ioanna Papatsouma (Imperial College London) (main supervisor)
* Professor Alastair Young (Imperial College London) (co-supervisor)
## Description of files
* `fullfactorialexperiment.R`: R code for the full factorial design on data sets with non-spherical clusters.
* `fullfactorialexperimentsph.R`: R code for the full factorial design on data sets with spherical clusters.