IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...
IEEE

Early Lung Disease Detection with Novel K -Nearest Neighbour Against Genetic Algorithm for Better Accuracy

Abstract: Proposed model is compared by using Novel K-NN algorithm to the Genetic Algorithm in order to increase lung cancer prediction at early stage. For detection and remedy for lung cancer ...
GitHub

Iris Flowers Classification with k-Nearest Neighbors

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 ...
GitHub

MicroPython Tools Plugin for PyCharm, CLion, IntelliJ and other JetBrains IDEs

This plugin brings MicroPython support into JetBrains IDEs in Free and Pro editions. It provides reliable device file system integration, REPL support, stub package management, and smooth workflows ...