K-Nearest Neighbour (KNN) is a lazy learning algorithm which has been successfully practiced in several real-life machine learning applications. However, it has been titled as lazy learner because it ...

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.

The purpose of this task is to visually demonstrate how the K-Nearest Neighbors (KNN) algorithm separates different classes using decision boundaries. This is achieved by training a KNN model on the ...

Particularly, we focus on optimizing the network-related operations during kNN classification. That is, the proposed cryptographic protocol reduces the number of interactions between the servers by ...