bestNormalize.Rproj New transformation: double reverse log Dec 4, 2022 codecov.yml Worked on implementing github actions Jun 1, 2021 cran-comments.md Prep for cran submission Aug 18, 2023 ThebestNormalizeR package was designed to help find a normalizing transformation for a vector. There are man...
#向量规范化 vector_normalize <- function(x){ x / sqrt(sum(x^2)) } #调用函数进行向量规范化 dataset_normal <- colwise(vector_normalize)(dataset[,-9]) #加权标准化矩阵 dataset_normal_weight <- adply(dataset_normal,1,.fun = function(x){x*entropy_weight}) #确定正理想方案和负理想方案 ...
n.Normalize();// normal vector of triangle ABCfn.push_back(n);// add normal vector to the normal vectors list}#ifdefDEBUG_FACENORMALS_CALCULATIONMessageInterface::ShowMessage("List of normal vectors:\n");for(UnsignedInt i =0; i < fn.size(); ++i) { MessageInterface::ShowMessage("%.15...
具体计算过程如下: #向量规范化vector_normalize<-function(x){x/sqrt(sum(x^2))}#调用函数进行向量规范化dataset_normal<-colwise(vector_normalize)(dataset[,-9])#加权标准化矩阵dataset_normal_weight<-adply(dataset_normal,1,.fun=function(x){x*entropy_weight})#确定正理想方案和负理想方案best_case<-...
Vector3.Normalize的特点是改变当前向量,也就是当前向量长度是1 1 旋转向量 初始化旋转向量 //旋转角为alpha(顺时针),旋转轴为(x,y,z) Eigen::AngleAxisd rotation_vector(alpha,Vector3d(x,y,z)) Eigen::AngleAxisd yawAngle(alpha,Vector3d::UnitZ()); 1. 2. 3. 4. 旋转向量转旋转矩阵 Eigen::Matr...
Error in preprocessCore::normalize.quantiles(t(data), copy = FALSE) : ERROR; return code from pthread_create() is 22 解决方法(参考): BiocManager::install("preprocessCore", configure.args="--disable-threading", force = TRUE) 12. tmap包查看世界地图报错 2022.08.18 Thursday Error: Shape contai...
R语言中,矩阵是如何除以向量的?。。。从Normalize引发的思考(表达矩阵除以一个等列长的向量) 比如,r语言中,下面两种计算的结果是多少? 代码语言:javascript 复制 x<-c(1,2)y<-c(10,20,30,40)x*y 代码语言:javascript 复制 m<-matrix(seq(1,15,1),...
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normalize <- function(x){ num <- x - min(x) denom <- max(x) - min(x) return(num/denom) } iris_norm <-as.data.frame(lapply(iris[,1:4], normalize)) summary(iris_norm) 6、训练集与测试集选取 一般按照3:1的比例选取 方法一、set.seed(1234) ...
{ v2.normalize(); c_x = v2.x(); c_y = v2.y(); c_z = v2.z(); r = -1.0; return true; } Eigen::Vector3d u = v1norm; Eigen::Vector3d w = v2.cross(v1); w.normalize(); Eigen::Vector3d v = w.cross(u); double bx = v1.dot(u); double cx = v2.dot(u);...