A Study of SOM Clustering Software Implementations
نویسنده
چکیده
Clustering algorithms generally suffer from some well-known problems for which the Self Organizing Maps (SOM) algorithms are adept at handling. While there are many variants of the SOM algorithm, software programmes that implement the SOM algorithms have tended to give varying results even when tested on the same data sets. This can have serious implications when the goal of the clustering is novelty detection. In this study a comparison of the performance of some SOM clustering software was carried out and results presented. CCS Concepts • General and reference ➝ -computing tools and techniques ➝ Empirical studies
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