Abstract: This research aims to develop a phishing detection model using the K-Nearest Neighbors (KNN) algorithm and compare its performance with Decision Tree (DT). With phishing threats on the rise, ...
Vicinity is a light-weight, low-dependency vector store. It provides a simple and intuitive interface for nearest neighbor search, with support for different backends and evaluation. There are many ...
Abstract: This letter presents an innovative application of the isolation using nearest neighbor ensemble (iNNE) method for hyperspectral anomaly detection (HAD). iNNE is an efficient anomaly detector ...
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