This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementLinear Discriminant AnalysisLinear Discriminant Analysis (LDA) is similar to PCA but tries to take class information into account to achieve a dimensionality reduction while keeping the class separation high. The result may be used in a subsequent classification. The method tries to maximize the ratio of between-class and within-class scatter in order to achieve a projection where data points of a class are close to each other and far from data points of other classes. More information can be found on Wikipedia.
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- Column Filter37 %
PCA Apply9 %- Color Manager7 %
Scorer3 %- Partitioning3 %
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String To Number1 %Linear Correlation1 %- Normalizer1 %
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PCA Compute1 %PCA1 %Number To String1 %Joiner1 %Linear Discriminant Analysis1 %- Conditional Box Plot (legacy)1 %
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Naive Bayes Predictor< 1 %PCA Inversion< 1 %Regression Predictor< 1 %- SVM Learner< 1 %
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Row Filter (deprecated)< 1 %- Missing Value< 1 %
Column Rename< 1 %Excel Writer (XLS)< 1 %- Column Filter (legacy)< 1 %
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CSV Writer< 1 %Naive Bayes Learner< 1 %K Nearest Neighbor< 1 %- Linear Regression Learner< 1 %
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