Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.clustering.cluster |
Provides implementations of different types of clusters.
|
gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
|
Modifier and Type | Class and Description |
---|---|
class |
CentroidCluster<ClusterType>
The CentroidCluster class extends the default cluster to contain a central
element.
|
class |
GaussianCluster
The
GaussianCluster class implements a cluster of Vector
objects that has a MultivariateGaussian object representing the
cluster. |
class |
MiniBatchCentroidCluster |
class |
NormalizedCentroidCluster<ClusterType>
Add the ability to store the centroid of the normalized vectors belonging to
a centroid cluster.
|
Modifier and Type | Method and Description |
---|---|
DefaultCluster<ClusterType> |
DefaultCluster.clone() |
DefaultCluster<DataType> |
DefaultIncrementalClusterCreator.createCluster() |
DefaultCluster<DataType> |
DefaultClusterCreator.createCluster(java.util.Collection<? extends DataType> members)
Creates a new
DefaultCluster from the given list of members. |
Modifier and Type | Method and Description |
---|---|
void |
DefaultIncrementalClusterCreator.addClusterMember(DefaultCluster<DataType> cluster,
DataType member) |
boolean |
DefaultIncrementalClusterCreator.removeClusterMember(DefaultCluster<DataType> cluster,
DataType member) |
Modifier and Type | Class and Description |
---|---|
static class |
DirichletProcessMixtureModel.DPMMCluster<ObservationType>
Cluster for a step in the DPMM
|