Man pages for e-sensing/kohonenDTW
Supervised and Unsupervised Self-Organising Maps for Satellite Image Time Series
| check.whatmap | Check the validity of a whatmap argument |
| classvec2classmat | Convert a classification vector into a matrix or the other... |
| degelder | Powder pattern data by Rene de Gelder |
| expandMap | Expand a self-organising map |
| getCodes | Extract codebook vectors from a kohonen object |
| kohonenDTW-package | Supervised and Unsupervised Self-Organising Maps for... |
| map.kohonenDTW | Map data to a supervised or unsupervised SOM |
| nir | Near-infrared data with temperature effects |
| object.distances | Calculate distances between object vectors in a SOM |
| peppaPic | Synthetic image of a pepper plant with peppers |
| plot.kohonenDTW | Plot kohonen object |
| predict.kohonenDTW | Predict properties using a trained Kohonen map |
| summary | Summary and print methods for kohonen objects |
| supersom | Self- and super-organising maps |
| tricolor | Provides smooth unit colors for SOMs |
| unit.distances | SOM-grid related functions |
| wines | Wine data |
| yeast | Yeast cell-cycle data |
