Nearestrank
Nearestrank is a term used in information retrieval and data analysis to describe a family of ranking methods that order items by their proximity to a query point in a metric space. In this context, each item is represented as a feature vector, and a distance function is defined to measure how close the item is to the query.
In an exact implementation, nearestrank computes the distance from the query to every item in the dataset
Variants of nearestrank use approximate search techniques to improve speed on large datasets. These include data
Common applications include information retrieval, recommender systems, image and text search, and anomaly detection, where the
Nearestrank is closely related to nearest neighbor search and ranking by similarity. The choice of distance