Nearest Neighbor Classification Techniques, particularly the k-nearest neighbor (KNN) algorithm ... of KNN make it a popular choice among machine learning practitioners. Recent research has ...

Instance selection and classification algorithms are crucial components of machine learning ... Moreover, the development of an Improved K-Nearest Neighbor rule (IKNN_PSLFW) combines prototype ...

you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning with supervised learning, you will review ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...