Method FindNearest

Finds the neighbors and predicts responses for input vectors.

public float FindNearest(InputArray samples, int k, OutputArray results, OutputArray neighborResponses = default, OutputArray dist = default)

samples InputArray: Input samples stored by rows. It is a single-precision floating-point matrix of [number_of_samples] * k size.
k int: Number of used nearest neighbors. Should be greater than 1.
results OutputArray: Vector with results of prediction (regression or classification) for each input sample. It is a single-precision floating-point vector with [number_of_samples] elements.
neighborResponses OutputArray: neighborResponses Optional output values for corresponding neighbors. It is a single-precision floating-point matrix of [number_of_samples] * k size.
dist OutputArray: Optional output distances from the input vectors to the corresponding neighbors. It is a single-precision floating-point matrix of [number_of_samples] * k size.