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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IntCentroidsResult |
HierarchicalIntKMeansResult.Node.result
IntCentroidsResult for this node |
Modifier and Type | Method and Description |
---|---|
IntCentroidsResult |
IntKMeans.cluster(DataSource<int[]> ds) |
IntCentroidsResult |
IntKMeans.cluster(int[][] data) |
Modifier and Type | Method and Description |
---|---|
IntCentroidsResult |
RandomSetIntClusterer.cluster(DataSource<int[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
IntCentroidsResult |
RandomIntClusterer.cluster(DataSource<int[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
IntCentroidsResult |
RandomSetIntClusterer.cluster(int[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|
IntCentroidsResult |
RandomIntClusterer.cluster(int[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|