Self- and Super-organizing Maps in R : The kohonen Package
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Abstract
In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional assumptions, can handle huge data sets with ease, and have shown their worth in a large number of applications. In this paper, we highlight the kohonen package for R, which implements self-organizing maps as well as some extensions for supervised pattern recognition and data fusion.
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693
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Authors
2Topics & keywords
Topics
Keywords
- Self-organizing map
- Computer science
- R package
- Set (abstract data type)
- Data mining
- Pattern recognition (psychology)
- Artificial intelligence
- Data set
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