CLUSTER AND LINEAR REGRESSION ANALYSIS OF CHINESE AND MALAYSIAN RESEARCH COLLABORATION BASED ON BIG DATA AND SCIBERTdoi:10.59277/RRST-EE.2025.1.18GUANSU WANGZHIHONG HUANGSAMEER KUMARRevue Roumaine des Sciences Techniques- Série Électrotechnique et Énergétique...
Chapters and Articles You might find these chapters and articles relevant to this topic. Chapter Special Topics Hierarchical Cluster Analysis The goal of hierarchical cluster analysis is to build a tree diagram where the cards that were viewed as most similar by the participants in the study are ...
The image segmentation performance of KMC technique [18] has been far better and effective in terms of visual analysis. This can be easily observed in Fig. 13.3, where the tumor area in the image is quite easy to visualize through KMC. Sign in to download full-size image Figure 13.3. ...
Using principal component analysis (PCA), we extracted thelatent variablesof the adherence measures.Latent variables (also known asprincipal components) are linear functions of the original measures, which identify the underlying structure of the measures and avoid redundant information60. We identified t...
They were therefore excluded from our analysis. – 10 – 5.3. The distance of the Virgo X-ray sample The diffuse X-ray emission of the hot gas in the Virgo cluster has been measured by ROSAT (B¨ohringer et al. 1994). We use the X-ray boundary, i.e. the isophote with 0.444 ...
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it conducts a thorough analysis and evaluation of the effectiveness of deep learning in enhancing security measures. Additionally, the paper introduces a novel approach involving a functional layer to facilitate meaningful device modeling, thus improving feature mapping for precise device identification. In...
advised about the process of randomisation and trial design and led the statistical analysis and critical revision of manuscript; DRS: advised about the process for mediation analysis and quality control of HAP delivery and critical revision of manuscript; RV: advised about the content of the communi...
A cluster analysis was then applied to regression residuals, grouping stations into three categories with increasing value of residual average. Checking the reclassification effectiveness through the examination of differences between independent “validation” observations and predictions of GMPEs adopting the...
Minimum meal frequency practice and associated factors among children aged 6–23 months old in The Gambia: a multilevel mixed effect analysis Improved recipes provide better complementary feeding in young children: findings of community-based trials in Bangladesh ...