Data mining in Go

The purpose of this article is to evaluate the Go programming language as a tool for implementing data mining methods. To do this, an analysis of the classification problem and the k-nearest neighbors’ algorithm is carried out, then a method is proposed for how this method can be programmed and the process of managing and preparing the initial data can be organized. In conclusion, based on the work carried out, it sums up how well Go is suitable for solving such problems and whether there is potential for the implementation of other methods.