Type of Algorithm & Purpose K-Nearest Neighbors (KNN) is a supervised learning algorithm used for classification and regression tasks. It is a non-parametric and lazy learning algorithm, meaning it ...

./code/import.patient.data.R <- contains the import.patient.data function that reads the patient data do impute from .csv files and saves it as a .Rdata for fast loading. The related object is then ...

K-Nearest Neighbors (KNN) is a widely used classification algorithm, but its performance heavily depends on the value of the K parameter. Hyperparameter tuning methods like grid search and random ...

In this study, the machine learning algorithm, K-Nearest Neighbor (KNN) is introduced for human action recognition. A wearable sensor is employed to collect the acceleration signals, which correspond ...