Task: In R, I need to write classifier using the K-nearest neighbors algorithm for the iris data set (this data is in R Studio)

First write function that will calculate the euclidean distance from a vector A (in 4-dimensional space) to another vector B (also in 4-dimensional space).

Use that function to find the k nearest neighbors to then make a classification.

The function will accept four inputs: a row matrix for the x values of the test case, a matrix of x values for the training data, a vector of class labels for the training data, and the k parameter.

The function will return a single label.

iris_knn

}