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 ReplacementPCA ApplyThis node applies a projection to the principal components on the given
input data. The data model of the PCA
computation node can be applied to arbitrary data
to reduce it to a given number of dimensions.
The information preservation rates in the selection of the target dimensions give the expected
approximation rates based on the training data fed into the connected PCA Compute
node. These rates assume that data fed into the predictor is equally distributed
as the data the PCA was computed for initially.
Options
Popular Predecessors
- Missing Value9 %
File Reader8 %- Correlation Filter6 %
Linear Discriminant Analysis6 %- X-Partitioner3 %
- Concatenate3 %
Joiner3 %Model Reader2 %- ARFF Reader2 %
Number To String2 %- Normalizer Apply (PMML)2 %
- Normalizer (PMML)2 %
String To Number2 %- Reference Column Filter2 %
- Reference Row Filter2 %
- RowID2 %
- Math Formula2 %
PCA Apply2 %- Missing Value (Apply)1 %
- Rule-based Row Filter1 %
- Split Collection Column1 %
- RDKit Descriptor Calculation1 %
- Low Variance Filter1 %
- Expand Bit Vector1 %
- Row Splitter1 %
- Denormalizer1 %
- Inject Variables (Data)< 1 %
PCA Inversion< 1 %- Missing Value Column Filter< 1 %
- Rule Engine< 1 %
- Color Manager< 1 %
XLS Reader< 1 %- Java Snippet (simple)< 1 %
- SMOTE< 1 %
- Math Formula (Multi Column)< 1 %
- k-Means< 1 %
PCA Compute< 1 %PCA< 1 %- Domain Calculator< 1 %
- Sorter< 1 %
Color Appender< 1 %Table Row to Variable< 1 %- Column Auto Type Cast< 1 %
- GroupBy< 1 %
- Molecule Type Cast< 1 %
- Category to Number (Apply)< 1 %
- Numeric Binner< 1 %
- Category to Number< 1 %
Column Appender< 1 %- One to Many< 1 %
- Equal Size Sampling< 1 %
- Normalizer< 1 %
- Partitioning< 1 %
- Pivot< 1 %
- Row Sampling< 1 %
- Column Splitter< 1 %
Scorer< 1 %Excel Reader (XLS)< 1 %- Fingerprints Expander< 1 %
- Constant Value Column< 1 %
Linear Correlation< 1 %- Double to Integer< 1 %
Column Rename< 1 %- String Manipulation< 1 %
- Parameter Optimization Loop Start< 1 %
Table Row To Variable Loop Start< 1 %- Group Loop Start< 1 %
- Cluster Assigner< 1 %
Number To String (PMML)< 1 %- Extract Table Dimension< 1 %
- Model Reader< 1 %
- Fuzzy c-Means< 1 %
- R Snippet< 1 %
CSV Reader< 1 %- Table Creator< 1 %
- Java Snippet< 1 %
- Loop End (Column Append)< 1 %
- Number to Category (Apply)< 1 %
- Column Rename (Regex)< 1 %
- Column Resorter< 1 %
- Column Filter< 1 %
- Row Filter< 1 %
- Normalizer (Apply)< 1 %
- One to Many (PMML)< 1 %
- Shuffle< 1 %
- Rule-based Row Splitter< 1 %
- SDF Reader< 1 %
Excel Reader (XLS)< 1 %- Java Edit Variable (simple)< 1 %
- Category to Class< 1 %
- Table View (JavaScript)< 1 %
Python Script (1⇒1)< 1 %- Principal Components< 1 %
- Outlier Removal< 1 %
Database Reader< 1 %Interval Loop Start< 1 %- MDS< 1 %
- Logistic Regression Predictor< 1 %
- Regression Predictor< 1 %
- SVM Predictor< 1 %
- Add Empty Rows< 1 %
Cell Splitter< 1 %- Cross Joiner< 1 %
- HiLite Row Splitter< 1 %
- Reference Row Splitter< 1 %
- Table Transposer< 1 %
Rank Correlation< 1 %- Numeric Outliers< 1 %
- Box Plot (legacy)< 1 %
- Visual 2D Data Generator< 1 %
- OpenBabel< 1 %
- H2O to Table< 1 %
Read XLS Sheet Names< 1 %Read Excel Sheet Names (XLS)< 1 %- Topic Extractor (Parallel LDA)< 1 %
- Column Filter (legacy)< 1 %
- Integer Input (legacy)< 1 %
Python Script (2⇒2)< 1 %Python Script (1⇒1)< 1 %- RDKit Fingerprint< 1 %
- CSV Reader< 1 %
Views
- This node has no views
Workflows
01_AnalyticsKNIME Hub- 01_AnalyticsKNIME Hub
- 03_ZIP_Local_vs_remoteHTTPKNIME Hub
- 14_Reading local and remote compressed CSV filesKNIME Hub
- Chemical SpaceKNIME4HTS
- Show all 6 workflows
Links
- No links available
Developers
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