inertdiss {ClustGeo} | R Documentation |
Pseudo inertia of a cluster
Description
The pseudo inertia of a cluster is calculated from a dissimilarity matrix and not from a data matrix.
Usage
inertdiss(D, indices = NULL, wt = NULL)
Arguments
D |
an object of class "dist" with the dissimilarities between the n observations.
The function |
indices |
a vector with the indices of the subset of observations. |
wt |
vector with the weights of the n observations |
References
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.
Examples
data(estuary)
n <- nrow(estuary$dat)
Z <- scale(estuary$dat)*sqrt(n/(n-1))
inertdiss(dist(Z)) # pseudo inertia
inert(Z) #equals for euclidean distance
w <- estuary$map@data$POPULATION # non uniform weights
inertdiss(dist(Z),wt=w)
[Package ClustGeo version 2.1 Index]