Applies k-Medoids algorithm on the input table. Starting with a random initialization of the medoids, it iteratively performs an exhaustive search on the input data by determining the cost for swapping any medoid with any input data row. It then replaces the medoid with the data row that reduces the cost most unless no more cost reduction is possible (in which case it terminates) or the maximum number of iterations are run (or the node is canceled in the view). The costs are determined by either using a pre-computed distance matrix given (Port 0) or with the usage of a connected distance measure (Port 1).
Options
Popular Successors
- Color Manager11 %
Scorer4 %- Silhouette Coefficient2 %
- GroupBy2 %
- Denormalizer2 %
- Numeric Distances2 %
- Scatter Plot (JFreeChart)2 %
Excel Writer (XLS)2 %Cell Replacer1 %- Scatter Plot (legacy)1 %
- Similarity Search1 %
- Column Filter1 %
- Shape Manager1 %
- Distance Matrix Writer1 %
Map Viewer1 %- 2D/3D Scatterplot< 1 %
- MDS (DistMatrix)< 1 %
- HeatMap (JFreeChart)< 1 %
- Fuzzy c-Means< 1 %
- K Nearest Neighbor< 1 %
- MDS< 1 %
PCA< 1 %- Scorer< 1 %
- Math Formula< 1 %
- Table View (JavaScript)< 1 %
- k-Means< 1 %
- SOTA Predictor< 1 %
- Category to Number< 1 %
- Denormalizer (PMML)< 1 %
- Rule Engine< 1 %
- k-Medoids< 1 %
- K Nearest Neighbor (Distance Function)< 1 %
- Scatter Plot (Plotly)< 1 %
- Cluster Assigner< 1 %
- Hierarchical Clustering< 1 %
- Hierarchical Clustering (DistMatrix)< 1 %
Joiner< 1 %- Joiner< 1 %
- Conditional Box Plot (legacy)< 1 %
- Box Plot (legacy)< 1 %
- Excel Writer< 1 %
- Scatter Plot (JavaScript)< 1 %
- RDKit Interactive Table< 1 %
- Byte Vector Distances< 1 %
Table Writer< 1 %Loop End (2 ports)< 1 %- Hierarchical Cluster View< 1 %
- DBSCAN< 1 %
- Decision Tree Learner< 1 %
- OPTICS Cluster Assigner< 1 %
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- PCA< 1 %
- Number to String< 1 %
Column Appender< 1 %- Domain Calculator< 1 %
Row Filter (deprecated)< 1 %- Table Manipulator< 1 %
- Partitioning< 1 %
Column Rename< 1 %- RowID< 1 %
- Sorter< 1 %
- Value Counter< 1 %
- Data Explorer< 1 %
- Statistics< 1 %
- Histogram (legacy)< 1 %
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Color Appender< 1 %- Distance Matrix Calculate< 1 %
XLS Writer< 1 %- t-SNE (L. Jonsson)< 1 %
Python Script (1⇒1)< 1 %- Fingerprint Similarity< 1 %
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K Nearest Neighbor< 1 %- Distance Matrix Pair Extractor< 1 %
- Concatenate< 1 %
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Excel Sheet Appender (XLS)< 1 %- Document Data Extractor< 1 %
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Variable to Table Column< 1 %- MultiLayerPerceptron Predictor< 1 %
Concatenate (Optional in)< 1 %- Column Resorter< 1 %
- Nominal Value Row Filter< 1 %
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CASE Switch Data (End)< 1 %- Crosstab< 1 %
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K Nearest Neighbor (Distance Function)< 1 %- JPython Function (Legacy)< 1 %
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- Column Filter (legacy)< 1 %
- Line Plot (JavaScript)< 1 %
Python Script (1⇒1)< 1 %- Python Script (legacy)< 1 %
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CSV Writer< 1 %Database Writer< 1 %- CSV Writer< 1 %
- Loop End< 1 %
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- X-Partitioner< 1 %
- Naive Bayes Learner< 1 %
- Naive Bayes Predictor< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Decision Tree Predictor< 1 %
- MDS Projection (DistMatrix)< 1 %
- Linear Regression Learner< 1 %
- Logistic Regression Predictor< 1 %
Regression Predictor< 1 %- Numeric Scorer< 1 %
- Association Rule Learner< 1 %
- SVM Learner< 1 %
Gradient Boosted Trees Learner< 1 %Random Forest Learner< 1 %- Auto-Binner< 1 %
- Numeric Binner< 1 %
Number To String< 1 %- Column Aggregator< 1 %
- Column Appender< 1 %
- One to Many< 1 %
- Constant Value Column< 1 %
- Linear Correlation< 1 %
- Duplicate Row Filter< 1 %
Column Filter< 1 %- Reference Column Filter< 1 %
- Filter Apply Row Splitter< 1 %
- Interactive HiLite Collector< 1 %
- Missing Value Column Filter< 1 %
Row Splitter (deprecated)< 1 %- Row Filter (Labs)< 1 %
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String Replace (Dictionary)< 1 %- Top k Row Filter< 1 %
- Table Transposer< 1 %
- Unpivot< 1 %
- Renderer to Image< 1 %
- Rule-based Row Filter< 1 %
- Cronbach Alpha< 1 %
- Rank Correlation< 1 %
- Numeric Outliers< 1 %
- Single sample t-test< 1 %
- End IF< 1 %
- Timer Info< 1 %
- HiLite Table (legacy)< 1 %
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- Parallel Chunk End< 1 %
- Matrix Distance< 1 %
- 3D Scatter Plot (Plotly)< 1 %
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Table to PDF< 1 %- Table to H2O< 1 %
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Location Extractor< 1 %- Coordinate to Latitude/Longitude< 1 %
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Views
- Learn Progress View
- While executing it shows the cost reduction in each iteration. It usually starts with some large cost reduction (due to random initialization) but decreases as more iterations are run. The "Finish" button allows the user to stop the calculation after the current iteration in case the reduction is considered sufficiently small.
Workflows
01_AnalyticsKNIME Hub- 01_AnalyticsKNIME Hub
- 01_ClusteringKNIME Hub
- 01_ClusteringKNIME Hub
- 01_Document_clusteringKNIME Hub
- Show all 48 workflows
Links
- No links available
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