Academic Journal

The synergistic effect of QR decomposition with t-SNE

التفاصيل البيبلوغرافية
العنوان: The synergistic effect of QR decomposition with t-SNE
المؤلفون: Ali, Mohsin, Choudhary, Jitendra
المساهمون: None
المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 34, No 2: May 2024; 1159-1169 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v34.i2
بيانات النشر: Institute of Advanced Engineering and Science
سنة النشر: 2024
مصطلحات موضوعية: Anderson-Darling test MDS, Mann-Whitney U test, QRPCA-t-SNE, t-SNE, UMAP
الوصف: The study utilized non-parametric tests, specifically, the Mann-Whitney U test, to evaluate the performance of a proposed model called QRPCA-t-SNE, along with two other models, MDS and UMAP. The study compared these three models with two datasets on performance metrics such as model accuracy, training accuracy, testing accuracy, mean square error, AUC scores, precision, recall, and F1 scores. Once the model's performance was conducted, the Anderson-Darling test was to check for data normality before applying the hypothesis for model proof. The analysis revealed that Model 1 (QRPCA-t-SNE) significantly outperformed Model 2 (UMAP) and Model 3 (MDS) in terms of accuracy, with p-values of 0.0027 and 0.0003, respectively. This finding suggests that Model 1 (QRPCA-t-SNE) is suitable for high-accuracy and reliability applications, providing valuable insights into predictive analytics with a 95% confidence interval (confidence level α= 0.05).
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36422/18264; https://ijeecs.iaescore.com/index.php/IJEECS/article/downloadSuppFile/36422/5656; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36422
DOI: 10.11591/ijeecs.v34.i2.pp1159-1169
الاتاحة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36422
https://doi.org/10.11591/ijeecs.v34.i2.pp1159-1169
Rights: Copyright (c) 2024 Mohsin Ali, jitendra Choudhary ; http://creativecommons.org/licenses/by-nc-sa/4.0
رقم الانضمام: edsbas.37B0873F
قاعدة البيانات: BASE
الوصف
DOI:10.11591/ijeecs.v34.i2.pp1159-1169