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 ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

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.