Description Usage Arguments Author(s)

Calculates the optimal number of clusters using a cluster R^2 equivalent metric, namely, the between sum of squares over the total sum of squares metric.

1 | ```
numClusters(Data, clusterIter = 10, threshold = 0.01)
``` |

`Data` |
The data that you wish to examine containing the cluster dimensions |

`clusterIter` |
The number of clusters centers for examination. A setting of 10 will run 2 through 10 cluster functions and return the best choice. |

`threshold` |
The difference in the cluster R^2 must meet in order to include the next cluster iteration. |

Helena Ristov

helenristov/aCompiler documentation built on Sept. 6, 2017, 12:25 a.m.

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