This node applies a
Linear Discriminant Analysis (LDA)
model to the given input data. This model is most likely the output
of a Linear Discriminant Analysis Compute node and can be
applied to arbitrary data to reduce its dimensionality.
The column names, however, must correspond to those that have been used to compute the model.
Options
Popular Predecessors
- Linear Discriminant Analysis Compute21 %
- Scatter Plot (JavaScript)12 %
- Linear Discriminant Analysis Inversion7 %
- Linear Regression Learner6 %
- Linear Discriminant Analysis5 %
- Column Filter5 %
- Normalizer5 %
- Excel Reader5 %
- Partitioning4 %
CSV Reader3 %- Normalizer (Apply)3 %
- PCA Apply3 %
- Number to String (PMML)3 %
- PCA Compute2 %
- Number to String2 %
Column Appender2 %- Color Manager2 %
- Table Reader2 %
Table Row to Variable< 1 %- Naive Bayes Learner< 1 %
- Auto-Binner< 1 %
- Linear Correlation< 1 %
- Normalizer Apply (PMML)< 1 %
- Shape Manager< 1 %
- String to Date/Time (legacy)< 1 %
- CSV Reader< 1 %
File Reader< 1 %- SMOTE< 1 %
- GroupBy< 1 %
- Joiner< 1 %
- Linear Discriminant Analysis Apply< 1 %
Views
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Workflows
02_Techniques_for_Dimensionality_ReductionKNIME Hub- dimension_reduction_techniquesKNIME Hub
- Dimensionality Reduction (LDA)KNIME Hub
- Dimensionality Reduction (LDA)NodePit Space
- Dimensionality Reduction (LDA)KNIME Hub
Links
- No links available
Developers
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