plotComparison: Plot Of The Comparative Cluster Validation

In VZoche-Golob/ClusterTools: Convenience Tools For Clusteranalyses

Plot Of The Comparative Cluster Validation

Description

Plot Of The Comparative Cluster Validation

Usage

plotComparison(result)

Arguments

results

a tibble::tibble with one row per distance measure, method and number of clusters from 2 to k and the columns: distance = dm method = method nCluster = k totalAvgSilWidth overall average silhoutte width (cluster::summary.silhouette$avg.width) minClustAvgSilWidth minimal average cluster silhoutte width (cluster::summary.silhouette$clus.avg.widths) minSilWidth minimal silhoutte width (cluster::summary.silhouette$si.summary$`Min.`) pPosSilWidths percentage of positive silhoutte widths minClustJacMean minimal cluster bootstrap mean of Jaccard's index (fpc::clusterboot$bootmean) pClustJacOver06 percentage of cluster bootstrap means of Jaccard's index above 0.6 separationIndex fpc::cluster.stats$sindex avgDistWithin fpc::cluster.stats$average.within withinVsBetween fpc::cluster.stats$wb.ratio

Value

a plot generated using ggplot2

VZoche-Golob/ClusterTools documentation built on April 3, 2022, 6:52 a.m.