I have a dataset which contains a large number of features or variables and I want to use dimensionality reduction which can help in simplifying the data representation. I need to know which nodes can be utilized to achieve this.
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Hey Nagisa,
Sparkflows offers a range of nodes specifically designed to facilitate dimensionality reduction of data. Some of them are listed below :-
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Autoencoders
- Feature Selection