Distance-Based k-Medoids


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Documentation for package ‘kmed’ version 0.2.0

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barplotnum Barplot of each cluster for numerical variables data set.
clust4 4 clustered data
clustboot Bootstrap replications for clustering alorithm
clustheatmap Consensus matrix heatmap from A consensus matrix
consensusmatrix Consensus matrix from A bootstrap replicate matrix
cooccur Co-occurrence distance for binary/ categorical variables data.
distmix Distances for mixed variables.
distNumeric A pair distance for continuous variables.
fastkmed Simple and fast k-medoid algorithm from Park and Jun.
globalfood Global food security index
matching A pair distance for binary/ categorical variables.
pcabiplot Biplot of a PCA object
rankkmed Rank k-medoid algorithm from Zadegan et. al.
shadow Centroid shadow value (CSV) index of each cluster based on medoid.
silhoutte Silhoutte index of each cluster.
stepkmed Step k-medoid algorithm from Yu et al.