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A topological version of k-NN: An abstract model is build as 2-dimensional self-organising map. Samples of unknown class are predicted by mapping them on the SOM and analysing class membership of neurons in the neighbourhood.
| Version: | 1.4.4 |
| Imports: | hexbin, class, kohonen, som, methods, graphics, grDevices, stats, utils |
| Published: | 2024-04-03 |
| Author: | Andreas Dominik |
| Maintainer: | Andreas Dominik <andreas.dominik at mni.thm.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | som.nn results |
| Reference manual: | som.nn.pdf |
| Package source: | som.nn_1.4.4.tar.gz |
| Windows binaries: | r-devel: som.nn_1.4.4.zip, r-release: som.nn_1.4.4.zip, r-oldrel: som.nn_1.4.4.zip |
| macOS binaries: | r-release (arm64): som.nn_1.4.4.tgz, r-oldrel (arm64): som.nn_1.4.4.tgz, r-release (x86_64): som.nn_1.4.4.tgz, r-oldrel (x86_64): som.nn_1.4.4.tgz |
| Old sources: | som.nn archive |
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