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MVR (version 1.00.0)

merging.cluster: Variable-Cluster Configuration Merging Subroutine

Description

Merging subroutine of variable-cluster configurations, determined for each group. Internal function called by mvr and internally by mvrt.test. Takes as argument the cluster membership matrix for each variable by group, which is returned by the membership value of MeanVarReg.

Usage

merging.cluster(M)

Arguments

M
Cluster membership matrix for each variable by group, where variables are by rows, and groups by columns. Returned by the membership value of MeanVarReg.

Value

  • clusnumeric vector representing the merged-clusters membership of each variable.

Details

None

References

  • Dazard, J-E. and J. S. Rao (2010). "Regularized Variance Estimation and Variance Stabilization of High-Dimensional Data." JSM Proceedings. High-Dimensional Data Analysis and Variable Selection Section., Vancouver, BC. Canada, American Statistical Association.
  • Dazard, J-E. and J. S. Rao (2011). "Joint Adaptive Mean-Variance Regularization and Variance Stabilization of High Dimensional Data." Comput. Statist. Data Anal. (submitted).

See Also

  • mvrMean-Variance Regularization and Variance Stabilization.
  • mvrt.testMean-Variance Regularized t-Test Statistic with Significance.
  • kmeans(R packagestats) for partition clustering in R.