Findings indicate that this new algorithm provides a good classification result without artificially selecting the neighborhood parameter. Unlike the original KNN-based method, which needs a prior k, ...

Based on positive experimental results and a meaningful comparison with various versions of KNN, we demonstrated that the improved conventional KNN algorithm can achieve very high positioning accuracy ...

Custom implementation of K-Nearest Neighbors algorithm from scratch in Python with performance comparison to scikit-learn.

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.