Package | Description |
---|---|
org.apache.mahout.clustering | |
org.apache.mahout.clustering.canopy | |
org.apache.mahout.clustering.fuzzykmeans | |
org.apache.mahout.clustering.iterator | |
org.apache.mahout.clustering.kmeans |
This package provides an implementation of the k-means clustering
algorithm.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Cluster
Implementations of this interface have a printable representation and certain
attributes that are common across all clustering implementations
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractCluster |
Modifier and Type | Method and Description |
---|---|
Model<VectorWritable> |
Model.sampleFromPosterior() |
Model<O>[] |
ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
Return a list of models sampled from the posterior
|
Model<O>[] |
ModelDistribution.sampleFromPrior(int howMany)
Return a list of models sampled from the prior
|
Modifier and Type | Method and Description |
---|---|
void |
Model.observe(Model<O> x)
Observe the given model, retaining information about its observations
|
void |
AbstractCluster.observe(Model<VectorWritable> x) |
Model<O>[] |
ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
Return a list of models sampled from the posterior
|
Modifier and Type | Class and Description |
---|---|
class |
Canopy
Deprecated.
|
Modifier and Type | Class and Description |
---|---|
class |
SoftCluster |
Modifier and Type | Class and Description |
---|---|
class |
DistanceMeasureCluster |
Modifier and Type | Method and Description |
---|---|
Model<VectorWritable> |
DistanceMeasureCluster.sampleFromPosterior() |
Modifier and Type | Class and Description |
---|---|
class |
Kluster |
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