vegclust (version 1.7.7)

vegclust-package: vegclust Functions for fuzzy and hard clustering of vegetation data

Description

vegclust This package contains functions used to perform fuzzy and hard clustering of vegetation data under different models.

Details

The DESCRIPTION file: vegclust vegclust

References

De Caceres, M., Font, X, Oliva, F. (2010) The management of numerical vegetation classifications with fuzzy clustering methods. Journal of Vegetation Science 21 (6): 1138-1151.

De C<U+00E1>ceres, M., Legendre, P., & He, F. 2013. Dissimilarity measurements and the size structure of ecological communities (D. Faith, Ed.). Methods in Ecology and Evolution 4: 1167<U+2013>1177.

Examples

# NOT RUN {
## Loads data  
data(wetland)
  
## This equals the chord transformation 
wetland.chord = as.data.frame(sweep(as.matrix(wetland), 1, 
                              sqrt(rowSums(as.matrix(wetland)^2)), "/"))

## Create noise clustering with 3 clusters. Perform 10 starts from random seeds 
## and keep the best solution
wetland.nc = vegclust(wetland.chord, mobileCenters=3, m = 1.2, dnoise=0.75, 
                      method="NC", nstart=10)
# }