| 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) |
Copyright © 2018 Semantic Analytics Group @ Uniroma2. All rights reserved.