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Object clustering
Description
Clusters objects using K-Means and/or DB-SCAN algorithms. Uses Apache Commons Math library for clustering.Parameters
- Input objects
- Type: InputObjectsP
- Cluster (parent) objects
- Type: OutputObjectsP
- Apply volume
- Type: BooleanP
- Default value: false
- Clustering algorithm
- Type: ChoiceP
- Default value: DBSCAN
- Choices:
- KMeans++
- DBSCAN
- Number of clusters
- Type: IntegerP
- Default value: 100
- Maximum number of iterations
- Type: IntegerP
- Default value: 10000
- Neighbourhood for clustering (epsilon)
- Type: DoubleP
- Default value: 10.0
- Minimum number of points per cluster
- Type: IntegerP
- Default value: 5