GitHub

This Python code is a simple machine learning script that performs classification using the K-Nearest Neighbors (KNN) algorithm

Imports: The code imports necessary libraries including NumPy, Matplotlib, pandas, and the KNeighborsClassifier from scikit-learn. Data Loading: It loads a dataset from a CSV file named "countries.csv ...
IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
GitHub

Industrial KNN-based Anomaly Detection

SPADE (Cohen et al. 2021) - knn in z-space and distance to feature maps PaDiM* (Defard et al. 2020) - distance to multivariate Gaussian of feature maps PatchCore (Roth et al. 2021) - knn distance to ...
IEEE

A Memory-Access-Efficient Adaptive Implementation of kNN on FPGA through HLS

Abstract: To reduce the impact of the memory-access constraint in k-Nearest Neighbors (kNN) problems, in this paper we implement one kNN kernel through high-level synthesis (HLS) on FPGA by employing ...