optCluster: Determine Optimal Clustering Algorithm and Number of Clusters

Cluster analysis using statistical and biological validation measures for both continuous and count data.

AuthorMichael Sekula <michael.sekula@louisville.edu>, Somnath Datta <somnath.datta@louisville.edu>, and Susmita Datta <susmita.datta@louisville.edu>
Date of publication2017-03-13 21:14:18
MaintainerMichael Sekula <michael.sekula@louisville.edu>
LicenseGPL (>= 2)
Version1.1.1

View on CRAN

Functions

aggregPlot Man page
arabid Man page
clusterResults Man page
clusterResults,optCluster-method Man page
getClValid Man page
getClValid,optCluster-method Man page
getDataset Man page
getDataset,optCluster-method Man page
getRankAggreg Man page
getRankAggreg,optCluster-method Man page
measureNames Man page
measureNames,optCluster-method Man page
methodNames Man page
methodNames,optCluster-method Man page
methodRanks Man page
methodRanks,optCluster-method Man page
optAssign Man page
optAssign,optCluster-method Man page
optCluster Man page
optCluster-class Man page
optClusterObj Man page
optHeatmap Man page
optimalScores Man page
optimalScores,optCluster-method Man page
print,optCluster-method Man page
repRankAggreg Man page
scoreRanks Man page
scoreRanks,optCluster-method Man page
show,optCluster-method Man page
summary,optCluster-method Man page
topMethod Man page
topMethod,optCluster-method Man page
valPlot Man page
valScores Man page
valScores,optCluster-method Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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