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R/00_pmclust_reduceK.r

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@@ -19,7 +19,7 @@ pmclust.reduceK <- function(K = 2, algorithm = .PMC.CT$algorithm){
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} # End of pmclust.reduceK().
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pmclust.reduce.spmd <- function(K = 2, algorithm = .PMC.CT$algorithm){
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pmclust.reduceK.spmd <- function(K = 2, algorithm = .PMC.CT$algorithm){
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# Get an initial start.
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PARAM.org <- set.global(K = K)
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PARAM.org <- try(initial.em(PARAM.org))

R/00_pmclust_reduceK_dmat.r

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@@ -1,6 +1,6 @@
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### A dmat version for automatically reducing K methods.
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pmclust.reduce.dmat <- function(K = 2, algorithm = .PMC.CT$algorithm){
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pmclust.reduceK.dmat <- function(K = 2, algorithm = .PMC.CT$algorithm){
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# Get an initial start.
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PARAM.org <- set.global.dmat(K = K)
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PARAM.org <- try(initial.em.dmat(PARAM.org))

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