A hierarchical clustering method based on genetic algorithms

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Documentation for package ‘clustergas’ version 1.0

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clustergas-package A hierarchical clustering method based on genetic algorithms.
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 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".
H.ave Clustering homogeneity measure.
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.
S.ave Clustering separation measure.
sigma.clust.fitness Clustering fitness function considering the size of the clusters.
sigma.clust.HS Clustering fitness function based on separation, homogeneity and 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.