This is a Java 7, fully MATLAB (R) compatible implementation of _Relational neural gas_. Relational neural gas is a clustering algorithm for distance data, meaning that you put in a matrix of pairwise distances D as well as a number of clusters K and you receive a distribution of your data points into K distinct clusters. It has first been proposed by [Hammer and Hasenfuss (2007)](https://doi.org/10.1007/978-3-540-74565-5_16) and is an extension of the _neural gas_ algorithm by [Martinetz and Schulten (1991)](https://www.ks.uiuc.edu/Publications/Papers/PDF/MART91B/MART91B.pdf). The basic idea of neural gas is to represent each cluster k in terms of a prototype wk which is responsible for all data points for which this prototype is the closest prototype. This prototype-based representation has two main advantages compared to other clustering methods: 1. It permits to extend the clustering to new data points by assigning new data points to their closest prototype (out-of-sample extension). 2. It permits to inspect the data set in terms of representative data points (i.e. the prototypes).
Data Re-Use License
Paaßen B. (2018): Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980.
Paaßen, B. (2018). Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980
Paaßen, B. (2018). Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980.
Paaßen, B., 2018. Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980
B. Paaßen, Relational Neural Gas. Bielefeld University, 2018. doi:10.4119/unibi/2916980.
Paaßen, B.: Relational Neural Gas. Bielefeld University (2018). doi:10.4119/unibi/2916980.
Paaßen, Benjamin. Relational Neural Gas. Bielefeld University, 2018. doi:10.4119/unibi/2916980
All files available under the following license(s):
Data Re-Use License The Open Database License (ODbL) v1.0
rng-1.0.0.zip 97.83 KB
rng-1.0.0.zip 125.53 KB
This data publication is cited in the following publications:
This publication cites the following data publications:
The original research paper by Hammer and Hasenfuss describing Relational Neural Gas.
Publically available GitLab page including the source files for this distribution.