Abstract: This study implements the K-Nearest Neighbors (K-NN) algorithm for classification tasks using the Python programming language in both serial and parallel modes. The execution times are ...

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...

The code can be found in the repository, it can be downloaded as ZIP by clicking in the geen Code button. The only necessary file is the notebook confidence.ipynb. To successfully run the notebook, ...

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify ...

The impact on global growth of the Middle East violence has so far been contained. That’s not the case for Egypt, Lebanon and Jordan, which were already struggling. By Patricia Cohen Reporting from ...

In wireless sensor networks, the missing of sensor data is inevitable due to the inherent characteristic of wireless sensor networks, and it causes many difficulties in various applications. To solve ...