# Provide information about a hierarchical clustering

### Description

Agglomerative hierarchical clustering procedures typically produce
a list of the clusters merged at each stage of the clustering.
`cluinf`

uses this list to construct arrays that explicitly show
which cluster a given data point belongs to, and which data points belong
to a given cluster.

### Usage

1 |

### Arguments

`merge` |
Matrix with 2 columns. The Can also be the object returned by a call to |

`nclust` |
Number of clusters. |

### Value

Information about the clustering that has `nclust`

clusters.
It is a list with the following elements:

`assign` |
Vector giving the assignment of items to clusters. |

`list` |
List with |

`num` |
Vector of length |

### Author(s)

J. R. M. Hosking jrmhosking@gmail.com

### References

Hosking, J. R. M., and Wallis, J. R. (1997).
*Regional frequency analysis: an approach based on L-moments*.
Cambridge University Press.

### See Also

`cluagg`

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
## Clustering of gaging stations in Appalachia, as in Hosking
## and Wallis (1997, sec. 9.2.3)
data(Appalach)
# Form attributes for clustering (Hosking and Wallis's Table 9.4)
att <- cbind(a1 = log(Appalach$area),
a2 = sqrt(Appalach$elev),
a3 = Appalach$lat,
a4 = Appalach$long)
att <- apply(att, 2, function(x) x/sd(x))
att[,1] <- att[,1] * 3
# Clustering by Ward's method
(cl<-cluagg(att))
# Details of the clustering with 7 clusters
cluinf(cl, 7)
``` |