请问下面三段代码分布是用来做什么的??
1、
## Do MDS on 1 - proximity:
iris.mds <- cmdscale(1 - iris.rf$proximity, eig=TRUE)
op <- par(pty="s")
pairs(cbind(iris[,1:4], iris.mds$points), cex=0.6, gap=0,
col=c("red", "green", "blue")[as.numeric(iris$Species)],
main="Iris Data: Predictors and MDS of Proximity Based on RandomForest")
par(op)
print(iris.mds$GOF)
2、
## The `unsupervised' case:
set.seed(17)
iris.urf <- randomForest(iris[, -5])
MDSplot(iris.urf, iris$Species)
3、
## stratified sampling: draw 20, 30, and 20 of the species to grow each tree.
(iris.rf2 <- randomForest(iris[1:4], iris$Species,
sampsize=c(20, 30, 20)))
通过?randomforest使用帮助文件
追问它那里写的是“The `unsupervised' case”,请问是什么意思?
追答非监督案例。算法分为:监督和非监督类型,聚类属于非监督
追问Do MDS on 1 - proximity和stratified sampling: draw 20, 30, and 20 of the species to grow each tree.
请问,分别是什么意思呢??
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追问如果我懂,就不会在这里提问了~~T_T~