A Survey On The Applications Of K-Nearest Neighbour Algorithm And Its VariantsBigdataKNN ClassificationData CenterMedical ApplicationNN CLASSIFICATIONDISTANCEBig data Analytics are a developing field that analy
proposed using the K-nearest neighbor (KNN) algorithm to classify iEEG data into “pre-“ or “interictal” and reported 87.5–100% prediction accuracy30. This application of KNN was to develop a warning system for upcoming seizures and would need to be paired with an electrical stimulation ...
The KNN algorithm outperformed the DT and NB classifiers in global classification. Chen et al.129 demonstrate that dividing breast tumors into benign and malignant types based on their dielectric properties is a viable option. By modeling the human breast in COMSOL Multiphysics, the author gets ...
Generally said, machine learning describes a computer program or algorithm that learns and therefore improves automatically from experience [30, 31]. Two of the most important areas in which it makes sense to use programs that learn from their experience and improve themselves are complex problems ...
The extracted information has helped in the estimation of the movement intention and has been used to train an adaptive movement prediction algorithm. Monkeys have been used to move a brain-controlled robot arm in virtual reality. Researchers have also succeeded in assisting them to eat with a ...
If most of the instances belong to a category, the new data set belongs to this category. At present, there are many packages developed for the kNN algorithm in the Python language. Among these, scikit-learn and Pypl are the most commonly used packages. It should be noted that scikit-...
(2020). Smart safety and security solution for women using kNN algorithm and IoT. In 2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT) (pp. 87–92). IEEE. Zeadally, S., & Tsikerdekis, M. (2020). Securing Internet of Things (IoT)...
1.8 K Nearest Neighbor Algorithm (KNN) 12 1.9 Naive Bayes 15 1.10 Finding the Best Algorithm Using Experimenter Application 17 1.11 Conclusion 18 1.12 Future Scope 19 2 Bounding Box Region-Based Segmentation of COVID-19 X-Ray Images by Thresholding and Clustering 23 ...
The combination of algorithms to create an ensemble can be homogeneous, by applying the same algorithm for all combined estimators (e.g., decision trees), or heterogeneous, by combining a variety of algorithms (e.g., support vector machines with logistic regression). Notably, the combination of...
A study explored the use of the KNN algorithm for classifying wheat varieties (Kama, Rosa, and Canadian) using the University of California's Seeds dataset of 210 records (Celik, 2023). High-quality soft X-ray imaging visualized the wheat samples, and classification accuracy was tested across ...