Description Usage Arguments Value References See Also Examples

This function calculates the proportion of inertia explained by the partitions in `K`

clusters
for a range of mixing parameters `alpha`

. When the proportion
of explained inertia calculated with `D0`

decreases, the proportion of explained inertia
calculated with `D1`

increases. The plot of the two curves of explained
inertia (one for `D0`

and one for `D1`

) helps
the user to choose the mixing parameter `alpha`

.

1 2 | ```
choicealpha(D0, D1, range.alpha, K, wt = NULL, scale = TRUE,
graph = TRUE)
``` |

`D0` |
a dissimilarity matrix of class |

`D1` |
an other dissimilarity matrix of class |

`range.alpha` |
a vector of real values between 0 and 1. |

`K` |
the number of clusters. |

`wt` |
vector with the weights of the observations. By default, wt=NULL corresponds to the case where all observations are weighted by 1/n. |

`scale` |
if TRUE the two dissimilarity matrices are scaled i.e. divided by their max. |

`graph` |
if TRUE, two graphics (proportion and normalized proportion of explained inertia) are drawn. |

An object with S3 class "choicealpha" and the following components:

`Q` |
a matrix of dimension |

`Qnorm` |
a matrix of dimension |

M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco. ClustGeo: an R package for hierarchical clustering with spatial constraints. Comput Stat (2018) 33: 1799-1822.

1 2 3 4 5 6 7 8 | ```
data(estuary)
D0 <- dist(estuary$dat) # the socio-demographic distances
D1 <- as.dist(estuary$D.geo) # the geographic distances between the cities
range.alpha <- seq(0,1,0.1)
K <- 5
cr <- choicealpha(D0,D1,range.alpha,K,graph=TRUE)
cr$Q # proportion of explained pseudo inertia
cr$Qnorm # normalized proportion of explained pseudo inertia
``` |

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