Modifier and Type | Class and Description |
---|---|
class |
FirstExamplesSelector
This class allows to select the first
m examples from a
Dataset . |
class |
RandomExampleSelector
This class allows selecting a subset of
m examples from a
Dataset according to a random selection policy. |
Modifier and Type | Method and Description |
---|---|
List<Cluster> |
ClusteringAlgorithm.cluster(Dataset dataset,
ExampleSelector seedSelector)
It starts the clustering process exploiting the provided
dataset |
Modifier and Type | Method and Description |
---|---|
ClusterList |
KernelBasedKMeansEngine.cluster(Dataset dataset,
ExampleSelector seedSelector) |
Modifier and Type | Method and Description |
---|---|
ClusterList |
LinearKMeansEngine.cluster(Dataset dataset,
ExampleSelector seedSelector) |
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