Nothing
### This function initializes global variables.
set.global.dmat <- function(K = 2, X.dmat = NULL, PARAM = NULL,
algorithm = c("em.dmat", "kmeans.dmat"),
RndEM.iter = 10){
if(is.null(X.dmat)){
if(exists("X.dmat", envir = .pmclustEnv)){
X.dmat <- get("X.dmat", envir = .pmclustEnv)
} else{
if(! exists("X.dmat", envir = .GlobalEnv)){
comm.stop("A global X.dmat does not exist.")
}
}
} else{
.pmclustEnv$X.dmat <- X.dmat
}
if(! pbdDMAT::is.ddmatrix(X.dmat)){
stop("X.dmat is not a ddmatrix.")
}
CTXT <- pbdDMAT::ICTXT(X.dmat)
### Get data information.
N <- nrow(X.dmat)
p <- ncol(X.dmat)
### Set parameters.
if(is.null(PARAM)){
PARAM <- list(N = N, p = p, K = K,
ETA = NULL, log.ETA = NULL, MU = NULL, SIGMA = NULL,
U = rep(list(), K),
U.check = rep(TRUE, K),
logL = NULL,
min.N.CLASS = min(c((p + 1) * p * 0.5 + 1, N / K * 0.2)))
PARAM$ETA <- rep(1 / K, K)
PARAM$log.ETA <- rep(-log(K), K)
PARAM$MU <- matrix(0, p, K)
PARAM$SIGMA <- rep(list(diag(1.0, p)), K)
} else{
PARAM$N <- N
K <- PARAM$K
}
### Set global storages.
.pmclustEnv$CONTROL <- .PMC.CT$CONTROL
.pmclustEnv$CONTROL$RndEM.iter <- RndEM.iter
.pmclustEnv$COMM.SIZE <- spmd.comm.size()
.pmclustEnv$COMM.RANK <- spmd.comm.rank()
.pmclustEnv$p.times.logtwopi <- p * log(2 * pi)
.pmclustEnv$Z.dmat <- pbdDMAT::ddmatrix(0, N, K)
.pmclustEnv$Z.colSums <- as.vector(colSums(.pmclustEnv$Z.dmat))
.pmclustEnv$W.dmat <- pbdDMAT::ddmatrix(0, N, K)
.pmclustEnv$W.rowSums <- as.vector(rowSums(.pmclustEnv$W.dmat))
.pmclustEnv$U.dmat <- pbdDMAT::ddmatrix(0, N, K)
# .pmclustEnv$CLASS.dmat <- pbdDMAT::ddmatrix(0, N, 1)
.pmclustEnv$CLASS <- rep(0, N) # This is not a ddmatrix.
.pmclustEnv$CHECK <- list(algorithm = algorithm[1],
i.iter = 0, abs.err = Inf,
rel.err = Inf, convergence = 0)
### For semi-supervised clustering.
# assign.ss.spmd()
for(i.k in 1:K){
tmp.U <- decompsigma(PARAM$SIGMA[[i.k]])
PARAM$U[[i.k]] <- tmp.U$value
PARAM$U.check[[i.k]] <- tmp.U$check
}
PARAM
} # End of set.global.dmat().
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