Relational Neural Gas

Paaßen B (2018)
Bielefeld University.

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Abstract / Bemerkung
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).
Stichworte
clustering; relational clustering; unsupervised learning
Erscheinungsjahr
2018
Copyright und Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2916980

Zitieren

Paaßen B. Relational Neural Gas. Bielefeld University; 2018.
Paaßen, B. (2018). Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980
Paaßen, Benjamin. 2018. Relational Neural Gas. Bielefeld University.
Paaßen, B. (2018). Relational Neural Gas. Bielefeld University.
Paaßen, B., 2018. Relational Neural Gas, Bielefeld University.
B. Paaßen, Relational Neural Gas, Bielefeld University, 2018.
Paaßen, B.: Relational Neural Gas. Bielefeld University (2018).
Paaßen, Benjamin. Relational Neural Gas. Bielefeld University, 2018.
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2019-09-25T06:53:14Z
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125.53 KB
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Zuletzt Hochgeladen
2019-09-25T06:53:14Z
MD5 Prüfsumme
6223eedc4768b6710021f86ac851e93a

Externes Material:
Wissenschaftliche Version
Beschreibung
The original research paper by Hammer and Hasenfuss describing Relational Neural Gas.
Software:
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Publically available GitLab page including the source files for this distribution.
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