Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide.

Abstract This paper presents an open-source implementation of PL-kNN, a parameterless version of the k-Nearest Neighbors algorithm. The proposed model, developed in Python 3.6, was designed to avoid ...

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...

The k-nearest neighbors (k-NN or kNN) classification technique can perform both multi-class and binary classification. This article presents a complete demo program using k-nearest neighbors ...

I indent my Python program using two spaces rather than the more common four spaces. The program imports the NumPy library, which contains numeric array functionality, and the KNeighborsClassifier ...

k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it is ...

In the field of Artificial Intelligence Machine learning provides the automatic systems which learn and improve itself from experience without being explicitly programmed. In this research work a ...

In the KNN algorithm, the classification of a new test feature vector is determined by the classes of its k-nearest neighbors. The KNN algorithm is implemented using Euclidean distance metrics to ...