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03a. DimensionalityReduction

Dimensionality reduction
Read the titanic.csv dataReduce the dimensionality based on the variance filter. Try different treshold.Hint: The higher the value, the more columns are likely to get filtered out. Check the lower dimensional data withstatistics. Replace missing values by median (numerical) and by the most frequent value (nominal) Read the titanic.csv dataReduce the dimensionality based on the variance filter. Try different treshold.Hint: The higher the value, the more columns are likely to get filtered out. Check the lower dimensional data withstatistics. Replace missing values by median (numerical) and by the most frequent value (nominal)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: wiswedel
Created at: 2017-07-04
On NodePit since: 2020-12-05
Last update: 2024-11-21
Created with KNIME version: v4.2.2
Tags: high dimensionsdimensionality reductionmachine learningvisualization

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