Description Usage Arguments References

Growing Neural Gas

1 2 3 4 |

`x` |
The input data. Must be a matrix! |

`max_iter` |
The max number of iterations. |

`epsilon_b` |
Move the winning node by epsilon_b times the distance. |

`epsilon_n` |
Move the neighbours of the winning node by epsilon_n times the distance. |

`age_max` |
Remove edges older than age_max. |

`max_nodes` |
The maximum number of nodes. |

`lambda` |
Insert new nodes every lambda iterations. |

`alpha` |
The decay parameter for error when a node is added. |

`beta` |
The decay parameter for error in every node every iteration. |

`assign_cluster` |
Whether or not to assign each sample to a GNG node. |

`verbose` |
Will output progress if |

`cpp` |
Whether or not to use the C++ implementation over the R implementation. The C++ implementation is a lot faster. |

`make_logs_at` |
At which iterations to store the GNG, for visualisation purposes. |

Fritzke, Bernd. "A growing neural gas network learns topologies." Advances in neural information processing systems 7 (1995): 625-632.

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