Computer Science
8 years ago

Revolutionizing data analysis: Linear methods enhance classification accuracy in high dimensions

2016 National Conference on Electrical, Electronics and Biomedical Engineering (ELECO)
Comparison of linear dimensionality reduction methods on classification methods
Eray Yıldız, Yusuf Sevim

Paper Summary

The article compares different methods for reducing the complexity of large datasets. The researchers looked at popular linear methods like PCA, LDA, LPP, NPE, and LSDA to see how well they work. They found that these methods can help make data easier to understand by using fewer dimensions.

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