The rookie asked: how to understand the training in machine learning?

what is the meaning of the "training algorithm" in the figure below? For example, the KNN algorithm mentioned below is not a function, something determined by routines? Why train?


1. The original matrix An in the eigenvector expression plays the function of keeping the eigenvector x transformation and the direction unchanged. The eigenvector has the property of keeping the direction unchanged, but the length of the vector may change (unless centering 1) to c times of the original. two Training is to perform simulation operations to test.


means to determine the value of the parameters in the algorithm?

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