närmastrankmetoden
The närmastrankmetoden, often translated as the nearest neighbor method, is a technique used in various fields, including data analysis, machine learning, and spatial statistics. Its core principle is to find the data point closest to a given reference point. In its simplest form, for a query point, the method identifies the single data point within a dataset that has the minimum distance according to a chosen distance metric.
This method is a fundamental building block for more complex algorithms. For instance, in k-nearest neighbors
The choice of distance metric is crucial and depends on the nature of the data. Common metrics