Training Clustering Algorithms
<p>Clustering algorithms applied to the iris data. Three clustering algorithms are used:</p><ul><li><p>K-Means</p></li><li><p>Hierarchical clustering</p></li><li><p>DBSCAN</p></li></ul>
Nodes
- Silhouette Coefficient5 ×
- Integer Configuration4 ×
- Color Manager3 ×
- Constant Value Column3 ×
- Row Filter3 ×
- Scatter Plot3 ×
- k-Means3 ×
- Column Filter2 ×
- Column Filter Configuration2 ×
- Numeric Distances2 ×
- Sorter2 ×
- Breakpoint1 ×
- Extract Column Header1 ×
- Column Rename1 ×
- Insert Column Header1 ×
- Column Resorter1 ×
- Concatenate1 ×
- DBSCAN1 ×
- Domain Calculator1 ×
- Heatmap (JavaScript)1 ×
- Hierarchical Cluster Assigner (JavaScript)1 ×
- Hierarchical Cluster Assigner1 ×
- Hierarchical Clustering1 ×
- Hierarchical Clustering (DistMatrix)1 ×
- Joiner1 ×
- Math Formula (Variable)1 ×
- Normalizer1 ×
- Parameter Optimization Loop End1 ×
- Parameter Optimization Loop Start1 ×
- Rule Engine Variable1 ×
- Single Selection Configuration1 ×
Table Column to Variable1 ×- Table Reader1 ×
- Transpose1 ×
- Table View1 ×
- Text Output1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- Show all 8 modules
Links
- No links available