Distance-Based K-Medoids


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Documentation for package ‘kmed’ version 0.3.0

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barplotnum Barplot of each cluster for numerical variables data set
clust4 4-clustered data set
clust5 5-clustered data set
clustboot Bootstrap replications for clustering alorithm
clustheatmap Consensus matrix heatmap from A consensus matrix
consensusmatrix Consensus matrix from A matrix of bootstrap replicates
cooccur Co-occurrence distance for binary/ categorical variables data
csv Centroid shadow value (CSV) index and plot
distmix Distances for mixed variables data set
distNumeric A pair distance for numerical variables
fastkmed Simple and fast k-medoid algorithm
globalfood Global food security index
heart Heart Disease data set
inckmed Increasing number of clusters in k-medoids algorithm
matching A pair distance for binary/ categorical variables
pcabiplot Biplot of a PCA object
rankkmed Rank k-medoid algorithm
shadow Centroid shadow value (CSV) index of each cluster based on medoid
sil Silhouette index and plot
silhoutte Silhoutte index of each cluster
stepkmed Step k-medoid algorithm from Yu et al.