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 ReplacementPCAThis node performs a principal component analysis (PCA) on the given data. The input data is projected from its original feature space into a space of (possibly) lower dimension with a minimum of information loss.
Options
Popular Successors
- Partitioning15 %
- Interactive Table (legacy)6 %
- Scatter Matrix (legacy)4 %
Joiner4 %- Normalizer4 %
- X-Partitioner3 %
PCA Inversion2 %- Hierarchical Clustering2 %
- Linear Regression Learner2 %
- Line Plot (legacy)2 %
PCA2 %- Decision Tree Learner2 %
Number To String2 %Row Filter (deprecated)1 %Counting Loop Start1 %Scorer1 %- DBSCAN1 %
- Distance Matrix Calculate1 %
- Logistic Regression Learner< 1 %
- R View (Table)< 1 %
- SVM Learner< 1 %
- Denormalizer< 1 %
- Fuzzy c-Means< 1 %
- GroupBy< 1 %
- Statistics< 1 %
- Cluster Assigner< 1 %
Column Appender< 1 %- Box Plot (legacy)< 1 %
K Nearest Neighbor< 1 %- Interactive Histogram (legacy)< 1 %
Regression Predictor< 1 %- k-Medoids< 1 %
- MDS< 1 %
- Missing Value< 1 %
- Math Formula< 1 %
Random Forest Learner< 1 %- Parallel Coordinates (legacy)< 1 %
Color Appender< 1 %- Decision Tree Predictor< 1 %
- RowID< 1 %
- Shape Manager< 1 %
- Table View (JavaScript)< 1 %
Gradient Boosted Trees Predictor< 1 %- Correlation Filter< 1 %
- Reference Row Filter< 1 %
- Numeric Distances< 1 %
Gradient Boosted Trees Learner< 1 %- Concatenate< 1 %
- Domain Calculator< 1 %
- HiLite Row Splitter< 1 %
Row Splitter (deprecated)< 1 %- Normalizer (PMML)< 1 %
- Row Sampling< 1 %
- Column Splitter< 1 %
Rank Correlation< 1 %- Extract Table Dimension< 1 %
- Crosstab< 1 %
- R Plot< 1 %
- Auto-Binner< 1 %
- SDF Writer< 1 %
- Mahalanobis Distance< 1 %
XLS Writer< 1 %- Radar Plot Appender< 1 %
- Reference Column Filter< 1 %
- Lift Chart (legacy)< 1 %
Table Writer< 1 %- Java Snippet< 1 %
- MDS Projection< 1 %
- MultiLayerPerceptron Predictor< 1 %
Logistic Regression Learner< 1 %- Logistic Regression Predictor< 1 %
- Regression Predictor< 1 %
- Entropy Scorer< 1 %
- Random Forest Learner (Regression)< 1 %
- Column Resorter< 1 %
- Column Filter< 1 %
Linear Discriminant Analysis< 1 %- Conditional Box Plot (legacy)< 1 %
- Enrichment Plotter (legacy)< 1 %
- HiLite Table (legacy)< 1 %
- Scatter Plot (legacy)< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
PCA Apply< 1 %- Polynomial Regression Learner< 1 %
- SMOTE< 1 %
Gradient Boosted Trees Predictor< 1 %- Random Forest Predictor< 1 %
- Simple Regression Tree Learner< 1 %
String To Number< 1 %- Equal Size Sampling< 1 %
Normalizer< 1 %- Pivot< 1 %
- Rule-based Row Filter< 1 %
- Histogram (legacy)< 1 %
- ROC Curve (legacy)< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
- HeatMap (JFreeChart)< 1 %
- LIBSVMPredictor< 1 %
- R Snippet< 1 %
Naive Bayes Learner< 1 %Naive Bayes Predictor< 1 %- Column Comparator< 1 %
- Normalizer (Apply)< 1 %
- Shuffle< 1 %
- Value Counter< 1 %
- Renderer to Image< 1 %
- Rule-based Row Splitter< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Line Plot (JavaScript)< 1 %
- Vector Length Normalization< 1 %
- Association Rule Learner< 1 %
- Simple Regression Tree Predictor< 1 %
Concatenate (Optional in)< 1 %- Bootstrap Sampling< 1 %
- Column Aggregator< 1 %
Linear Correlation< 1 %- Reference Row Splitter< 1 %
Number To String (PMML)< 1 %- Rank< 1 %
- Rule Engine< 1 %
- Cronbach Alpha< 1 %
- Numeric Outliers< 1 %
- Extract Table Spec< 1 %
- Interactive Pie chart (legacy)< 1 %
- Color Manager< 1 %
TIBCO File Writer< 1 %- Generic JavaScript View (JavaScript)< 1 %
Python View< 1 %- Outlier Removal< 1 %
Python Plot< 1 %- Inject Variables (Data)< 1 %
Variable to Table Row< 1 %- PNN Learner (DDA)< 1 %
- PNN Predictor< 1 %
- Hierarchical Clustering (DistMatrix)< 1 %
- Hierarchical Cluster View< 1 %
k-Means< 1 %- MDS (DistMatrix)< 1 %
- OPTICS Cluster Compute< 1 %
PCA Compute< 1 %Numeric Scorer< 1 %- SOTA Learner< 1 %
Random Forest Learner (Regression)< 1 %Random Forest Predictor< 1 %- Column Combiner< 1 %
Column Filter< 1 %- Filter Apply< 1 %
- Missing Value Column Filter< 1 %
- Low Variance Filter< 1 %
- Sorter< 1 %
- String Manipulation< 1 %
- String Replacer< 1 %
- Single sample t-test< 1 %
- Cache< 1 %
- Parallel Chunk End< 1 %
- Bit Vector Distances< 1 %
- String Distances< 1 %
- Sunburst Chart (JavaScript)< 1 %
- Prediction Fusion< 1 %
- Bar Chart (JFreeChart)< 1 %
- Histogram Chart (JFreeChart)< 1 %
- Line Chart (JFreeChart)< 1 %
- Scatter Plot (JFreeChart)< 1 %
- Bubble Chart (JFreeChart)< 1 %
Excel Writer (XLS)< 1 %- Document Data Extractor< 1 %
- Document Vector< 1 %
- Weka Predictor (3.7)< 1 %
- Column to XML< 1 %
- Molecular Properties< 1 %
- Frequency Domain Features (FDF)< 1 %
- Domain - Similarity< 1 %
- TIBCO Spotfire File Writer< 1 %
- Z-Primes (PC x NC)< 1 %
- R Snippet< 1 %
- R Snippet (2:1)< 1 %
- Fix Column Names< 1 %
- 2D/3D Scatterplot< 1 %
- Table to Image< 1 %
- ARFF Writer< 1 %
CSV Writer< 1 %- Feature Selection Filter< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- Column List Loop Start< 1 %
- Naive Bayes Learner< 1 %
- Naive Bayes Predictor< 1 %
- k-Means< 1 %
- K Nearest Neighbor< 1 %
- RProp MLP Learner< 1 %
- OPTICS Cluster Assigner< 1 %
- SOTA Predictor< 1 %
Simple Regression Tree Learner< 1 %Gradient Boosted Trees Learner (Regression)< 1 %- Gradient Boosted Trees Predictor (Regression)< 1 %
Tree Ensemble Learner< 1 %- Tree Ensemble Learner< 1 %
- Tree Ensemble Learner (Regression)< 1 %
Tree Ensemble Predictor< 1 %- Random Forest Learner< 1 %
- Random Forest Predictor (Regression)< 1 %
- Create Byte Vector< 1 %
Cell Splitter< 1 %- Category to Number< 1 %
- Constant Value Column< 1 %
- Cross Joiner< 1 %
- Table Validator< 1 %
- Extract Missing Value Cause< 1 %
- Nominal Value Row Splitter< 1 %
Normalizer< 1 %- Column Filter (PMML)< 1 %
- Missing Value (Apply)< 1 %
- Denormalizer (PMML)< 1 %
Column Rename< 1 %- Table Transposer< 1 %
- Ungroup< 1 %
- Unpivot< 1 %
- Bland-Altman Plot< 1 %
- One-way ANOVA< 1 %
- Independent groups t-test< 1 %
- IF Switch< 1 %
- Pie chart (legacy)< 1 %
- Visualization Property Extractor< 1 %
- Fingerprint Bayesian Learner< 1 %
- Counter Generation< 1 %
- Matrix Distance< 1 %
K Nearest Neighbor (Distance Function)< 1 %- Similarity Search< 1 %
- Bar Chart (JavaScript)< 1 %
- Box Plot (JavaScript)< 1 %
- Pie/Donut Chart (JavaScript)< 1 %
PMML Ensemble Predictor< 1 %PMML Predictor< 1 %Table to HTML< 1 %- MoSS MCSS Molecule Similarity< 1 %
- OpenBabel< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- External Tool< 1 %
- H2O MOJO Predictor (Autoencoder)< 1 %
- GroupBy Bar Chart (JFreeChart)< 1 %
- LIBSVMLearner< 1 %
- Rule Viewer (local) (Legacy)< 1 %
- OSM Map View< 1 %
- Category to Class< 1 %
- Column Filter (legacy)< 1 %
- Column Selection (legacy)< 1 %
- Scorer (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
- Colorspace Converter< 1 %
- Apply Color Settings To Labels< 1 %
- Hierarchy Extractor< 1 %
Python Script (1⇒1)< 1 %Python Script (2⇒1)< 1 %- R Learner< 1 %
- Table to R< 1 %
- Extract Time Window (legacy)< 1 %
- XGBoost Predictor< 1 %
- Fingerprint Similarity< 1 %
- RDKit Interactive Table< 1 %
- AP Calculator< 1 %
Views
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Workflows
06_Calculate_Document_Distance_Using_Word_VectorsKNIME Hub- 06_Calculate_Document_Distance_Using_Word_VectorsKNIME Hub
- 08_Sentiment_Classification_Using_Word_VectorsKNIME Hub
- 08_Sentiment_Classification_Using_Word_VectorsKNIME Hub
- Clustered SegurosKNIME Hub
- Show all 9 workflows
Links
Developers
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