optCluster: Determine Optimal Clustering Algorithm and Number of Clusters

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

Author
Michael Sekula <michael.sekula@louisville.edu>, Somnath Datta <somnath.datta@louisville.edu>, and Susmita Datta <susmita.datta@louisville.edu>
Date of publication
2016-03-26 15:56:07
Maintainer
Michael Sekula <michael.sekula@louisville.edu>
License
GPL (>= 2)
Version
1.1.0

View on CRAN

Man pages

aggregPlot
Rank Aggregation Plot
arabid
Subset of Arabidopsis RNA-Seq Data
optCluster
Determine Optimal Clustering Algorithm and Number of Clusters
optCluster-class
Class "optCluster"
optHeatmap
Optimal Hierarchical Clustering Heat Map
repRankAggreg
Repeat Rank Aggregation
valPlot
Validation Measure Plots

Files in this package

optCluster
optCluster/NAMESPACE
optCluster/data
optCluster/data/arabid.rda
optCluster/R
optCluster/R/optCluster-Classes.R
optCluster/R/optCluster-Functions.R
optCluster/R/optCluster-Methods.R
optCluster/R/optCluster-Internal.R
optCluster/MD5
optCluster/DESCRIPTION
optCluster/man
optCluster/man/valPlot.Rd
optCluster/man/optCluster.Rd
optCluster/man/aggregPlot.Rd
optCluster/man/optCluster-class.Rd
optCluster/man/optHeatmap.Rd
optCluster/man/repRankAggreg.Rd
optCluster/man/arabid.Rd