Researchers at Nanjing University of Science and Technology (NJUST) developed PCA-3DSIM, a mathematically grounded ...

Learn how to use Cursor AI to debug faster, code smarter, and focus on building innovative solutions. Explore how AI coding ...

After the full understanding of principal component analysis and kernel principal component analysis, the validity of kernel principal component analysis method is proved, and a new grid-based ...

The data are dimensionally reduced by principal component analysis (PCA) algorithm and combined with decision tree algorithm to identify the data dynamic temperature modulation and array, which ...

Our PCA algorithm achieved very comparable, and even better performance, with and without filtering, compared to the implementation in pyVHR, which can be seen here: Furthermore, our most optimal ...

The ideal k value was determined based on the ratio of unclear clusters. To investigate differences in clinical features between clusters, we generated heatmaps using the “pheatmap” R package. The PCA ...

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