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