Used

Pca for classification python

Pca for classification python
  1. Can PCA used for classification?
  2. Can PCA be used for text classification?

Can PCA used for classification?

Principal Component Analysis (PCA) is a great tool used by data scientists. It can be used to reduce feature space dimensionality and produce uncorrelated features. As we will see, it can also help you gain insight into the classification power of your data.

Can PCA be used for text classification?

Principal Component Analysis (PCA) is a widely adopted method in pattern recognition and signal processing. PCA is effective in data compression and feature extraction【12,13,14】. It's natural for us to apply PCA in text categorization to get the low-dimension representation of document vectors.

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