GitHub

Implementation of KNN algorithm in Python 3

K-Nearest-Neighbors algorithm is used for classification and regression problems. In this project, it is used for classification. The Iris data set is bundled for test, however you are free to use any ...
GitHub

Boulahia-Y/-Classification-d-IRM-c-r-brales-avec-KNN-GPU-OpenCL-.-

lung_knn_opencl/ ├── data/ # Dataset (généré automatiquement) │ ├── normal/ # Images CT normales │ └── tumor/ # Images CT avec tumeur ├── preprocess.py # Prétraitement des images ├── features.py # ...
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 ...
IEEE

Determining The Parameter K of K-Nearest Neighbors (KNN) using Random Grid Search

Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...