This node assigns new data to an existing set of prototypes, which are obtained e.g. by a k-means clustering. Each data point is assigned to its nearest prototype.
Popular Predecessors
- k-Means20 %
- Partitioning10 %
- Normalizer (Apply)7 %
- GroupBy6 %
Model Reader4 %- PMML Reader2 %
- Fuzzy c-Means2 %
- Table Creator2 %
XLS Reader2 %File Reader1 %String To Number1 %Naive Bayes Learner1 %Column Rename1 %- Excel Reader1 %
Excel Reader (XLS)1 %- Normalizer1 %
- Denormalizer< 1 %
- CSV Reader< 1 %
Scorer< 1 %- Scorer< 1 %
PCA< 1 %PCA Apply< 1 %- Hierarchical Clustering< 1 %
- Extract Table Dimension< 1 %
Table Reader< 1 %- Row Sampling< 1 %
- RowID< 1 %
Linear Correlation< 1 %- Cluster Assigner< 1 %
- Pivot< 1 %
- Naive Bayes Learner< 1 %
- Numeric Outliers< 1 %
Number To String< 1 %- Reference Row Filter< 1 %
- Missing Value< 1 %
- Document Vector Applier< 1 %
- PCA Apply< 1 %
- ARFF Reader< 1 %
CSV Reader< 1 %PMML Reader< 1 %Logistic Regression Learner< 1 %Row Filter (deprecated)< 1 %- Column Splitter< 1 %
- Denormalizer (PMML)< 1 %
- Table Manipulator< 1 %
- DBSCAN< 1 %
- Category to Number (Apply)< 1 %
- Normalizer Apply (PMML)< 1 %
Rank Correlation< 1 %- R Snippet< 1 %
- HiLite Table (legacy)< 1 %
- Auto-Binner< 1 %
- Equal Size Sampling< 1 %
- Column Filter< 1 %
- Missing Value Column Filter< 1 %
- Rule-based Row Filter (Dictionary)< 1 %
- K Nearest Neighbor< 1 %
- Data Explorer< 1 %
- Decision Tree Learner< 1 %
- Decision Tree Predictor< 1 %
- Linear Regression Learner< 1 %
Row Splitter (deprecated)< 1 %- Missing Value (Apply)< 1 %
- Table Transposer< 1 %
- Rule Engine< 1 %
- Color Manager< 1 %
- k-Medoids< 1 %
- Math Formula< 1 %
- PCA< 1 %
- Linear Correlation< 1 %
- Shape Manager< 1 %
- Duplicate Row Filter< 1 %
- Counting Loop Start< 1 %
- Crosstab< 1 %
- X-Partitioner< 1 %
- SVM Learner< 1 %
- Concatenate< 1 %
- Numeric Binner< 1 %
- Category to Number< 1 %
- Column Resorter< 1 %
- One to Many< 1 %
- Normalizer (PMML)< 1 %
- String Manipulation< 1 %
- Rule-based Row Filter< 1 %
Linear Discriminant Analysis< 1 %- Statistics< 1 %
- Distance Matrix Calculate< 1 %
- Weka Predictor (3.7)< 1 %
- Scatter Plot (JavaScript)< 1 %
- Model Reader< 1 %
- Naive Bayes Predictor< 1 %
- Silhouette Coefficient< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Hierarchical Cluster Assigner< 1 %
- Logistic Regression Learner< 1 %
- String to Number< 1 %
- Constant Value Column< 1 %
- Nominal Value Row Filter< 1 %
- Math Formula (Multi Column)< 1 %
- Weka Cluster Assigner (3.7)< 1 %
XML Reader< 1 %- File Reader< 1 %
- Table Reader< 1 %
- Joiner< 1 %
- Fingerprints Expander< 1 %
PMML Reader< 1 %Joiner< 1 %- Box Plot (legacy)< 1 %
- SDF Reader< 1 %
- R Source (Table)< 1 %
- RDKit Descriptor Calculation< 1 %
- Read Images< 1 %
- SVM Predictor< 1 %
Column Appender< 1 %- Ungroup< 1 %
Excel Reader (XLS)< 1 %Forge Score k Nearest Neighbor (kNN)< 1 %- PNN Predictor< 1 %
- Value Counter< 1 %
- Data Generator< 1 %
- Cell to PMML< 1 %
- R Snippet< 1 %
Database Connection Table Reader< 1 %- RProp MLP Learner< 1 %
- Entropy Scorer< 1 %
- SMOTE< 1 %
- Column Aggregator< 1 %
- Lag Column< 1 %
- Column Filter (legacy)< 1 %
- Table View (JavaScript)< 1 %
- Filter Apply< 1 %
- DB Reader< 1 %
- Column Expressions< 1 %
- Java Snippet< 1 %
- Group Loop Start< 1 %
Random Forest Predictor< 1 %Read XLS Sheet Names< 1 %- Line Plot (JavaScript)< 1 %
- Network Analyzer< 1 %
- RDKit Fingerprint< 1 %
- Table Row To Variable Run-for-time Loop Start< 1 %
Loop End (2 ports)< 1 %- OPTICS Cluster Compute< 1 %
- Association Rule Learner< 1 %
- Distance Matrix Pair Extractor< 1 %
- Column Rename (Regex)< 1 %
- String Replacer< 1 %
- Lift Chart (legacy)< 1 %
- Spark MLlib to PMML< 1 %
- DB Insert< 1 %
- DB Query Reader< 1 %
- PMML Predictor< 1 %
- JPMML Classifier< 1 %
JSON Reader< 1 %- Don't Save End< 1 %
Python Script (DB)< 1 %- Coordinate to Latitude/Longitude< 1 %
- Logistic Regression Predictor< 1 %
- SOTA Predictor< 1 %
- Extract Missing Value Cause< 1 %
- Ruleset Editor< 1 %
- Normalize Plates (POC)< 1 %
- Normalize Plates (Z-Score)< 1 %
Database Reader< 1 %Loop End< 1 %- X-Aggregator< 1 %
Naive Bayes Predictor< 1 %k-Means< 1 %- MultiLayerPerceptron Predictor< 1 %
Tree Ensemble Predictor< 1 %- Random Forest Predictor (Regression)< 1 %
- Create Bit Vector< 1 %
- Correlation Filter< 1 %
- Shuffle< 1 %
- Sorter< 1 %
- Rule-based Row Splitter< 1 %
Color Appender< 1 %- Counter Generation< 1 %
Excel Reader (XLS)< 1 %- IDF< 1 %
- TF< 1 %
- NGram Creator< 1 %
- Flat File Document Parser< 1 %
Document Data Extractor< 1 %MongoDB Reader< 1 %- Web Log Reader< 1 %
- Fingerprint Similarity Calculator< 1 %
- Speedy SMILES Charge Count< 1 %
- R Snippet (2:1)< 1 %
Variable to Table Column< 1 %Table Column to Variable< 1 %Variable to Table Row< 1 %Database Looping< 1 %Line Reader< 1 %List Files< 1 %- Feature Selection Loop Start (1:1)< 1 %
- Feature Selection Loop Start (2:2)< 1 %
Interval Loop Start< 1 %- Fuzzy Rule Learner< 1 %
- Fuzzy Rule Predictor< 1 %
- PNN Learner (DDA)< 1 %
K Nearest Neighbor< 1 %- MDS< 1 %
- Polynomial Regression Learner< 1 %
- Regression Predictor< 1 %
Numeric Scorer< 1 %- PMML Model Appender< 1 %
Concatenate (Optional in)< 1 %- Expand Bit Vector< 1 %
- Bootstrap Sampling< 1 %
- Number to Category (Apply)< 1 %
- Column Name Extractor< 1 %
- Column Renamer (Dictionary)< 1 %
- Column Merger< 1 %
- Column to Grid< 1 %
- Many to One< 1 %
Double To Int< 1 %- Double to Integer< 1 %
- Reference Column Filter< 1 %
- Constant Value Column Filter< 1 %
- HiLite Row Splitter< 1 %
- Many to One (PMML)< 1 %
Number To String (PMML)< 1 %- String to Number (PMML)< 1 %
- String Splitter (Regex)< 1 %
- Cache< 1 %
- Timer Info< 1 %
- Conditional Box Plot (legacy)< 1 %
- Extract Color< 1 %
- Interactive Table (legacy)< 1 %
- Spark to Table< 1 %
K Nearest Neighbor (Distance Function)< 1 %- K Nearest Neighbor (Distance Function)< 1 %
- Similarity Search< 1 %
- Table to PMML Ensemble< 1 %
PMML Predictor< 1 %- Cell to Model< 1 %
- Geo-Coordinate Row Filter< 1 %
Read Excel Sheet Names (XLS)< 1 %- Java Snippet Row Filter< 1 %
Vocabulary Extractor (legacy)< 1 %- PDF Parser< 1 %
- Bag Of Words Creator< 1 %
- Document Vector< 1 %
- Document Vector Hashing Applier< 1 %
- Strings to Document< 1 %
- Lift Chart (JavaScript)< 1 %
- Table Editor (JavaScript)< 1 %
- Container Input (Table)< 1 %
- JSON to Table< 1 %
- Date&Time to String< 1 %
- String to Date&Time< 1 %
- Date&Time-based Row Filter< 1 %
- Molecule to CDK< 1 %
- Substructure Search< 1 %
- Table Column to Variable< 1 %
Simple File Reader< 1 %- Variable Creator< 1 %
- PCA Inversion< 1 %
- Random Forest Predictor< 1 %
Cell Replacer< 1 %- Number to String< 1 %
- Row Filter (Labs)< 1 %
- Column Filter (PMML)< 1 %
- Number to String (PMML)< 1 %
- Rank< 1 %
- PMML Transformation Apply< 1 %
- Capture Workflow Start< 1 %
- Prediction Fusion< 1 %
- Word Vector Apply (legacy)< 1 %
- Porter Stemmer< 1 %
Transfer Files< 1 %- Decision Tree View (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Integer Widget< 1 %
- Container Input (JSON)< 1 %
- Parameter Optimization Loop Start< 1 %
- Python Script (legacy)< 1 %
- Moving Average< 1 %
- Fingerprints< 1 %
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Workflows
01_AnalyticsKNIME Hub- 01_AnalyticsKNIME Hub
- 01_Clustering_the_Social_CommunityKNIME Hub
- 01_Model_Selection_SampledKNIME Hub
- 01_Performing_a_k-Means_ClusteringKNIME Hub
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