| Package | Description |
|---|---|
| org.openimaj.ml.clustering.kmeans |
K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
FeatureVectorKMeansInit.RANDOM<T>
Simple kmeans initialized on randomly selected samples.
|
| Modifier and Type | Method and Description |
|---|---|
FeatureVectorKMeansInit<T> |
FeatureVectorKMeans.getInit()
Get the current initialisation algorithm
|
| Modifier and Type | Method and Description |
|---|---|
void |
FeatureVectorKMeans.setInit(FeatureVectorKMeansInit<T> init)
Set the current initialisation algorithm
|