H.ave                   Clustering homogeneity measure.
S.ave                   Clustering separation measure.
a.rand.index2           Adjusted Rand Index.
ag.coef.mean1           Agglomerative coefficient for function
                        "clustering.fitness".
ag.coef.sigma           Agglomerative coefficient for function
                        "sigma.clust.fitness".
ag.coef1                Agglomerative coefficient for a fitness
                        function.
agnes.gas               Genetic algorithm for data hierarchical
                        clustering.
clustergas-package      A hierarchical clustering method based on
                        genetic algorithms.
clustering.dendo        Evolutionary strategy to improve a clustering.
clustering.fitness      Main fitness function of a clustering.
complete.tree           Adds the missing levels of a dendrogram to
                        reach its original size.
degree.similarity       Builds the vector of agreement and disagreement
                        between the two clusterings passed as
                        arguments.
dendrogram.graph        Converts a full dendrogram to an object of
                        class "agnes".
evol.cluster            Evolutionary strategy to improve a clustering.
exec.strag              Evolutionary strategy to improve a clustering.
fitness.mean            Main fitness function of a dendrogram.
fitness.mean.silhouette
                        Fitness function measuring the dendrogram
                        silhouette width.
fitness.meanC.HS        Clustering fitness function based on separation
                        and homogeneity.
fitness.meanD.HS        Fitness function of a dendrogram based on
                        function "fitness.meanC.HS".
improve.dendo           Evolutionary strategy to improve a dendrogram.
init.variables          Initialization of the global variables of the
                        package.
jacard.coef             Jacard Coefficient measure.
local.search            Evolutionary strategy of local search.
minkowski               Minkowski Measure.
missvalue.knn           Replacing missing values using k-nearest
                        neighbors.
rand.index              Rand Index measure.
sigma.clust.HS          Clustering fitness function based on
                        separation, homogeneity and the size of the
                        clusters.
sigma.clust.fitness     Clustering fitness function considering the
                        size of the clusters.
sigma.dendo.fitness1    Dendrogram fitness function checking the
                        cluster size.
sigma.meanD.HS          Dendrogram fitness function based on
                        homogeneity and separation, checking the
                        cluster size.
silhouette.clust        Fitness function measuring the clustering
                        silhouette width.
silhouette.mean         Clustering silhouette measure.
standard                Normalizing a dataset.
transf.tree             Transforms a dendrogram of class "twins" to a
                        dendrogram as a list of lists of vectors.
transftovector          Converts a clustering (in the form of list) to
                        a vector structure.
