Package | Description |
---|---|
org.openimaj.ml.clustering.kmeans |
K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
|
org.openimaj.ml.clustering.random |
Modifier and Type | Field and Description |
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LongCentroidsResult |
HierarchicalLongKMeansResult.Node.result
LongCentroidsResult for this node |
Modifier and Type | Method and Description |
---|---|
LongCentroidsResult |
LongKMeans.cluster(DataSource<long[]> ds) |
LongCentroidsResult |
LongKMeans.cluster(long[][] data) |
Modifier and Type | Method and Description |
---|---|
LongCentroidsResult |
RandomSetLongClusterer.cluster(DataSource<long[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
LongCentroidsResult |
RandomLongClusterer.cluster(DataSource<long[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
LongCentroidsResult |
RandomSetLongClusterer.cluster(long[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|
LongCentroidsResult |
RandomLongClusterer.cluster(long[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|