Uses of Class
org.openimaj.ml.clustering.ByteCentroidsResult

Packages that use ByteCentroidsResult

Package	Description
org.openimaj.hadoop.tools.fastkmeans
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
org.openimaj.ml.clustering.random

Uses of ByteCentroidsResult in org.openimaj.hadoop.tools.fastkmeans

Methods in org.openimaj.hadoop.tools.fastkmeans that return ByteCentroidsResult

Modifier and Type	Method and Description
static ByteCentroidsResult	AKMeans.completeCentroids(String centroids, String selected, HadoopFastKMeansOptions options) Given the location of a binary dump of centroids on the HDFS, load the binary dump and construct a proper ByteKMeans instance
static ByteCentroidsResult	AKMeans.sequenceFileToCluster(String initialCentroids, int k) load some initially selected centroids from FeatureSelect as a ByteKMeans instance

Uses of ByteCentroidsResult in org.openimaj.ml.clustering.kmeans

Fields in org.openimaj.ml.clustering.kmeans declared as ByteCentroidsResult

Modifier and Type	Field and Description
ByteCentroidsResult	HierarchicalByteKMeansResult.Node.result ByteCentroidsResult for this node

Methods in org.openimaj.ml.clustering.kmeans that return ByteCentroidsResult

Modifier and Type	Method and Description
ByteCentroidsResult	ByteKMeans.cluster(byte[][] data)
ByteCentroidsResult	ByteKMeans.cluster(DataSource<byte[]> ds)

Uses of ByteCentroidsResult in org.openimaj.ml.clustering.random

Methods in org.openimaj.ml.clustering.random that return ByteCentroidsResult

Modifier and Type	Method and Description
ByteCentroidsResult	RandomSetByteClusterer.cluster(byte[][] data) Selects K elements from the provided data as the centroids of the clusters.
ByteCentroidsResult	RandomByteClusterer.cluster(byte[][] data) Selects K elements from the provided data as the centroids of the clusters.
ByteCentroidsResult	RandomSetByteClusterer.cluster(DataSource<byte[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
ByteCentroidsResult	RandomByteClusterer.cluster(DataSource<byte[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.