Research on KNN-Based GNSS Coordinate Classification for Epidemic Management

ABSTRACT

As epidemics such as COVID-19 and monkeypox spread, tracing specific people with restricted activities (targets) within administrative areas (targeted areas) is an effective option to slow the spread. Global Navigation Satellite Systems (GNSS) that can provide autonomous geospatial positioning of targets can assist this issue. K-nearest neighbors (KNN) is one of the most widely used algorithms for various classifications or predictions. In this paper, we will use the technique of KNN to classify the areas of the targets and explore the relationship between the density of targets to a area and the accuracy of classifications. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.