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 Compute39 %
- Scatter Plot (JavaScript)9 %
- Linear Discriminant Analysis Inversion5 %
- Linear Discriminant Analysis4 %
- Linear Regression Learner4 %
- Column Filter4 %
- Normalizer4 %
- Excel Reader4 %
- Partitioning3 %
CSV Reader2 %- Normalizer (Apply)2 %
- PCA Apply2 %
- Number to String (PMML)2 %
- PCA Compute1 %
- Number to String1 %
Column Appender1 %- Color Manager1 %
- Table Reader1 %
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
Links
- No links available
Developers
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