14 Clustering - solution
Text Mining Course: Visualization, Clustering, and Topic Modeling (solution)
- Compute pairwise cosine distances.
- Apply hierarchical clustering.
- View dendrogram to find out the number of clusters (k).
- Assign k clusters.
- Apply k-Medoids with k as number of clusters.
- Use the component composite view to select documents of one cluster in dendrogram, hilite them, and inspect data in a table view.
URL: Slides KNIME Analytics Platform Text Mining Course https://www.knime.com/form/material-download-registration
Nodes
- Hierarchical Cluster Assigner (JavaScript)2 ×
- Table Reader2 ×
- Table View (JavaScript)2 ×
- Bag Of Words Creator1 ×
- Case Converter1 ×
- Distance Matrix Calculate1 ×
- Document Vector1 ×
- GroupBy1 ×
- Hierarchical Cluster View1 ×
- Hierarchical Clustering (DistMatrix)1 ×
- Number Filter1 ×
- POS Tagger1 ×
- Punctuation Erasure1 ×
- Reference Row Filter1 ×
- Row Filter1 ×
- Snowball Stemmer1 ×
- Stop Word Filter1 ×
- TF1 ×
- Tag Filter1 ×
- Term To String1 ×
- k-Medoids1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Textprocessing
Links
- No links available