Package | Description |
---|---|
org.openimaj.ml.clustering.assignment.hard | |
org.openimaj.ml.clustering.kmeans |
K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
|
Class and Description |
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HierarchicalByteHardAssigner.ScoringScheme
The
HierarchicalByteHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |
HierarchicalDoubleHardAssigner.ScoringScheme
The
HierarchicalDoubleHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |
HierarchicalFloatHardAssigner.ScoringScheme
The
HierarchicalFloatHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |
HierarchicalIntHardAssigner.ScoringScheme
The
HierarchicalIntHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |
HierarchicalLongHardAssigner.ScoringScheme
The
HierarchicalLongHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |
HierarchicalShortHardAssigner.ScoringScheme
The
HierarchicalShortHardAssigner.ScoringScheme determines how the distance
to a cluster is estimated from the hierarchy of k-means
generated clusters. |