Microwave dielectric property based classification of renal calculi: Application of a kNN algorithmDielectric properties of renal calculiKidney stoneOpen-ended coaxial probeCole-Cole parametersClassification of
Therefore, all the predictive values in the training phase are perfectly fitted to the actual values, which are determined by the characteristics of the KNN algorithm. Overall, all models demonstrate satisfactory performance in the training phase, and developing predictive models based on small-sample...
KNN A non-parametric classification algorithm that determines the class of a test sample based on the classes of its k nearest neighbors in the training data. The algorithm computes the distance between the test sample and all training samples to find these neighbors53. DT A predictive model tha...
Shaheen M, Naheed N, Ahsan A (2023) Relevance-diversity algorithm for feature selection and modified Bayes for prediction. Alex Eng J 66:329–342 An S et al (2023) Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. Fuzzy Sets Syst 461:108476 Nguyen BH,...
After fusing the extracted features, machine learning algorithms such as k-nearest neighbors (KNN) and SVM are used for classification. The results showed that the SAE-CNN-SVM model had the best recognition performance for mold level detection in corn seeds. Zhang et al. (2021) graded corn ...
Such algorithms of text categorization as Naiuml;ve Bayes, kNN, Decision Tree and Boosting can be applied in spam filtering. However, the effectiveness of Naiuml;ve Bayes is limited and it is not fit for instant feedback learning. Others algorithm such as SVM are more effective but ...
algorithm has been presented [15] to find a stable unsupervised clustering of data using unstable methods such ask-means [19]. Multiple "uncorrelated" clusterings of the data were generated and used to construct a co-association matrix based on cluster membership of all the points in each ...
Liu et al. BMC Cancer (2023) 23:1134 https://doi.org/10.1186/s12885-023-11638-z BMC Cancer RESEARCH Open Access Application of CT and MRI images based on an artificial intelligence algorithm for predicting lymph node metastasis in breast cancer patients: a meta-analysis Cheng-Jie Liu1, ...
The dataset contained a total of 10,641 children. They applied three popular ML-based algorithms, namely RF, LR, and KNN for the prediction of mortality risk among children. Based on the systematic assessment of the performance parameters, they proposed that RF-based algorithm was superlative. ...
Metaheuristic algorithm simulates the population behavior in nature for mathematical modeling, and has strong optimization ability. Its advantages in the field of optimization are obvious to all, especially in the field of parameter optimization, it is trusted by people. 2. Introduction to the ...