Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
lung_knn_opencl/ ├── data/ # Dataset (généré automatiquement) │ ├── normal/ # Images CT normales │ └── tumor/ # Images CT avec tumeur ├── preprocess.py # Prétraitement des images ├── features.py # ...
Abstract: Facial expression recognition (FER) is the task of determining a person’s current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep ...
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 ...
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 ...