Package | Description |
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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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FloatCentroidsResult |
HierarchicalFloatKMeansResult.Node.result
FloatCentroidsResult for this node |
Modifier and Type | Method and Description |
---|---|
FloatCentroidsResult |
FloatKMeans.cluster(DataSource<float[]> ds) |
FloatCentroidsResult |
FloatKMeans.cluster(float[][] data) |
Modifier and Type | Method and Description |
---|---|
FloatCentroidsResult |
RandomSetFloatClusterer.cluster(DataSource<float[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
FloatCentroidsResult |
RandomFloatClusterer.cluster(DataSource<float[]> data)
Selects K elements from the provided
DataSource as the centroids of the clusters. |
FloatCentroidsResult |
RandomSetFloatClusterer.cluster(float[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|
FloatCentroidsResult |
RandomFloatClusterer.cluster(float[][] data)
Selects K elements from the provided data as the centroids of the clusters.
|