我如何能够将病媒的规模缩小到一个较低的层面?
Say for example X:=(1,2,3,4,5,6,7,8,9,10) is a 10-D vector. Suppose I want to reduce it to a 5 dimensional space. Is there any way to do this?
我有这样一种情况,即我需要将N-d矢量与相对较低的病媒进行比较。
我如何能够将病媒的规模缩小到一个较低的层面?
Say for example X:=(1,2,3,4,5,6,7,8,9,10) is a 10-D vector. Suppose I want to reduce it to a 5 dimensional space. Is there any way to do this?
我有这样一种情况,即我需要将N-d矢量与相对较低的病媒进行比较。
将10个病媒转化为5个病媒的途径有限。
比如说,“我希望能发挥两个惯性参数和重新分类的功能,我才能发挥这种作用”。 有许多这样的职能。
It really depends on what you want to do with the vector. What are the meanings of your 10d and 5d vectors?
如果我的假设是正确的,则禁止化学武器组织希望将10个数值的矢量转换为包含2个栏的矩阵。
可在R:
# make up the demo data
> v <- c(1,2,3,4,5,6,7,8,9,10)
# modify the dimensions of v to have 2 columns
> dim(v) <- c(5,2)
# and check the result
> v
[,1] [,2]
[1,] 1 6
[2,] 2 7
[3,] 3 8
[4,] 4 9
[5,] 5 10
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