Session - IRIS Classification & Prediction - Basic
Clustering on the Iris data
Clustering algorithms applied to simulated clustered data with 6 clusters
Nodes
- ROC Curve5 ×
- Scatter Plot (JavaScript)4 ×
- Color Manager3 ×
- Denormalizer3 ×
- Rule Engine3 ×
- Scorer3 ×
- Column Filter2 ×
- Math Formula2 ×
- Normalizer2 ×
- Partitioning2 ×
- Statistics2 ×
- Box Plot1 ×
- CSV Reader1 ×
- Conditional Box Plot1 ×
- DBSCAN1 ×
- Fuzzy Rule Learner1 ×
- Fuzzy Rule Predictor1 ×
- GroupBy1 ×
- Hierarchical Clustering1 ×
- Number To String1 ×
- Numeric Distances1 ×
- SVM Learner1 ×
- SVM Predictor1 ×
- Silhouette Coefficient1 ×
- Table Manipulator1 ×
- Table Reader1 ×
- Weka Cluster Assigner (3.7)1 ×
- k-Means1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- Show all 7 modules
Links
- No links available