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#Weka.clusterers Classes and Interfaces - 16 results found.
| Name | Description | Type | Package | Framework |
| AbstractClusterer | Class | weka.clusterers | Weka | |
| AbstractDensityBasedClusterer | Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster | Class | weka.clusterers | Weka |
| Canopy | Cluster data using the capopy clustering algorithm, which requires just one pass over the data. | Class | weka.clusterers | Weka |
| CheckClusterer | Class for examining the capabilities and finding problems with clusterers. | Class | weka.clusterers | Weka |
| Clusterer | Interface for clusterers. | Interface | weka.clusterers | Weka |
| ClusterEvaluation | Class for evaluating clustering models. | Class | weka.clusterers | Weka |
| Cobweb | Class implementing the Cobweb and Classit clustering algorithms. | Class | weka.clusterers | Weka |
| DensityBasedClusterer | Interface for clusterers that can estimate the density for a given instance. | Interface | weka.clusterers | Weka |
| EM | Simple EM (expectation maximisation) class. | Class | weka.clusterers | Weka |
| NumberOfClustersRequestable | Interface to a clusterer that can generate a requested number ofVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.clusterers | Weka |
| RandomizableClusterer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10601 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| RandomizableDensityBasedClusterer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| RandomizableSingleClustererEnhancer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| SimpleKMeans | Cluster data using the k means algorithm. | Class | weka.clusterers | Weka |
| SingleClustererEnhancer | Meta-clusterer for enhancing a base clusterer. | Class | weka.clusterers | Weka |
| UpdateableClusterer | Interface to incremental cluster models that can learn using one instance Version:$Revision: 10829 $Author:FracPete (fracpete at waikato dot ac dot nz) | Interface | weka.clusterers | Weka |