Creates Urerf Tree.
GrowUnsupervisedForest(X, MinParent = 1, trees = 100, MaxDepth = Inf,
bagging = 0.2, replacement = TRUE, FUN = makeAB, options = list(p
= ncol(X), d = ceiling(ncol(X)^0.5), sparsity = 1/ncol(X)),
Progress = TRUE, splitCrit = "twomeans", LinearCombo = TRUE)an Nxd matrix or Data frame of numeric values.
the minimum splittable node size (MinParent=1).
the number of trees to grow in a forest (trees=100).
the maximum depth allowed in a forest (MaxDepth=Inf).
only used experimentally. Determines the hold out size if replacement=FALSE (bagging=.2).
method used to determine boot strap samples (replacement=TRUE).
the function to create the rotation matrix used to determine mtry features.
options provided to FUN.
logical that determines whether to show tree creation status (Progress=TRUE).
split based on twomeans(splitCrit="twomeans") or BIC test(splitCrit="bicfast")
logical that determines whether to use linear combination of features. (LinearCombo=TRUE).
tree