Build a clustrange object to compare different clustering solutions.
● Data Source:
CranContrib
● Keywords:
● Alias: as.clustrange, as.clustrange.hclust, as.clustrange.twins, plot.clustrange
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Function to aggregate identical cases.
● Data Source:
CranContrib
● Keywords:
● Alias: print.wcAggregateCases, wcAggregateCases, wcAggregateCases.data.frame, wcAggregateCases.matrix
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Convert a hierarchical clustering object to a seqtree object which can then be displayed using seqtreedisplay .
● Data Source:
CranContrib
● Keywords:
● Alias: as.seqtree, as.seqtree.hclust, as.seqtree.twins
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K-Medoids or PAM clustering of weighted data.
● Data Source:
CranContrib
● Keywords:
● Alias: wcKMedoids
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This function automatically name the cluster using the sequence medoid of each cluster.
● Data Source:
CranContrib
● Keywords:
● Alias: seqclustname
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Compute several quality statistics of a given clustering solution.
● Data Source:
CranContrib
● Keywords:
● Alias: wcClusterQuality
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Compute wcKMedoids clustering for different number of clusters.
● Data Source:
CranContrib
● Keywords:
● Alias: wcKMedRange
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Compute the silhouette of each object using weighted data.
● Data Source:
CranContrib
● Keywords:
● Alias: wcSilhouetteObs
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Automatically compute different clustering solutions and associated quality measures to help identifying the best one.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.clustrangefamily, print.clustrangefamily, summary.clustrangefamily, wcCmpCluster
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