Implement data scaling using scale=TRUE. Address the issue of self-inclusion in nearest neighbor search by excluding the data point itself during neighbor calculation. Code: The R code provided ...

We will use Support Vector Machines (SVMs), a "black box" learning algorithm, to classify 2D data. You can import your own 2D dataset into either code below. However, I will provide example 2D ...

A method for regression of non-linear relations between resonance parameters and moisture content is emploied in order to eliminate the measurement errors. A multiple non-linear regression model based ...

Support vector machine (SVM) is a powerful classification tool for analysis of high dimensional data such as genomics. Regularized linear and nonlinear SVM methods with feature selection have been ...