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Thank you, just learning Knime myself, this was a great example. I was very much overthinking it.
Thanks.I came from the future, wondering if you r gona explore complicated thing!
Do you prepared your data before with PCA ?
Depends on the dimensionality of your input data, and what you are after in your data. But using PCA is generally a good way to do dimensionality reduction.
@@antoniamey6490 okay, so I guess you also prepared your data with PCA? :-)
Thank you, just learning Knime myself, this was a great example. I was very much overthinking it.
Thanks.
I came from the future, wondering if you r gona explore complicated thing!
Do you prepared your data before with PCA ?
Depends on the dimensionality of your input data, and what you are after in your data. But using PCA is generally a good way to do dimensionality reduction.
@@antoniamey6490 okay, so I guess you also prepared your data with PCA? :-)