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.
Options
Popular Predecessors
File Reader13 %Number To String9 %Excel Reader (XLS)7 %CSV Reader5 %- Missing Value5 %
String To Number4 %- GroupBy3 %
Joiner3 %- Numeric Binner3 %
Linear Correlation3 %- Color Manager3 %
- Correlation Filter2 %
- Missing Value Column Filter2 %
- Auto-Binner2 %
- Nominal Value Row Filter2 %
- Partitioning2 %
- Pivot1 %
- String Replacer1 %
PCA1 %Number To String (PMML)1 %Column Rename1 %- Crosstab1 %
- Shape Manager1 %
XLS Reader1 %- Scatter Plot (JavaScript)1 %
- Row Filter1 %
String To Number (PMML)1 %- Data Explorer1 %
Linear Discriminant Analysis1 %- Math Formula< 1 %
- Cluster Assigner< 1 %
- k-Means< 1 %
Column Appender< 1 %- Statistics< 1 %
- Conditional Box Plot (legacy)< 1 %
Excel Reader (XLS)< 1 %Excel Reader (XLS)< 1 %Regression Predictor< 1 %Scorer< 1 %- Category to Number< 1 %
- Domain Calculator< 1 %
- Double to Integer< 1 %
- Split Collection Column< 1 %
Line Reader< 1 %- Polynomial Regression Learner< 1 %
- R to Table< 1 %
Database Reader< 1 %Table Reader< 1 %- Table Creator< 1 %
- Java Snippet< 1 %
- MDS< 1 %
- SMOTE< 1 %
- Column Resorter< 1 %
- Constant Value Column< 1 %
- Column Filter< 1 %
- HiLite Row Splitter< 1 %
- Row Splitter< 1 %
- Normalizer< 1 %
- RowID< 1 %
- Column Splitter< 1 %
- Kruskal-Wallis Test< 1 %
- Data Generator< 1 %
- Category to Class< 1 %
- Table to String< 1 %
- Hierarchical Clustering< 1 %
Logistic Regression Learner< 1 %- PCA< 1 %
- Number to Category (Apply)< 1 %
- Column Name Extractor< 1 %
- One to Many< 1 %
- Edit Nominal Domain< 1 %
- Extract Missing Value Cause< 1 %
- Reference Column Filter< 1 %
- Column Filter (PMML)< 1 %
- One to Many (PMML)< 1 %
String Replace (Dictionary)< 1 %- Unpivot< 1 %
- Value Counter< 1 %
- Kolmogorov-Smirnov Test< 1 %
- Conditional Label Assigner< 1 %
- JPython Script 1:1 (Legacy)< 1 %
- Java Snippet Row Filter< 1 %
- String to Term< 1 %
- PCA Apply< 1 %
- DB Query Reader< 1 %
Views
- This node has no views
Workflows
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.