| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms
Clustering algorithms are supposed to implement the
Algorithm-Interface. |
| de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms
The clustering algorithms in this package are instances of both, projected clustering algorithms or
subspace clustering algorithms according to the classical but somewhat obsolete classification schema
of clustering algorithms for axis-parallel subspaces.
|
| de.lmu.ifi.dbs.elki.visualization.opticsplot |
Code for drawing OPTICS plots
|
| de.lmu.ifi.dbs.elki.visualization.projector |
Projectors are responsible for finding appropriate projections for data relations.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.optics |
Visualizers that do work on OPTICS plots
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d |
Visualizers based on 2D projections.
|
| Modifier and Type | Method and Description |
|---|---|
ClusterOrderResult<D> |
OPTICSTypeAlgorithm.run(Database database) |
ClusterOrderResult<D> |
DeLiClu.run(Database database,
Relation<NV> relation) |
ClusterOrderResult<D> |
OPTICS.run(Database database,
Relation<O> relation)
Run OPTICS on the database.
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder,
Database database,
RangeQuery<O,D> rangeQuery,
DBID objectID,
D epsilon,
FiniteProgress progress)
OPTICS-function expandClusterOrder.
|
protected void |
OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder,
Database database,
RangeQuery<O,DoubleDistance> rangeQuery,
DBID objectID,
DoubleDistance epsilon,
FiniteProgress progress)
OPTICS-function expandClusterOrder.
|
private Clustering<OPTICSModel> |
OPTICSXi.extractClusters(ClusterOrderResult<N> clusterOrderResult,
Relation<?> relation,
double ixi,
int minpts)
Extract clusters from a cluster order result.
|
| Modifier and Type | Method and Description |
|---|---|
private Clustering<SubspaceModel<V>> |
DiSH.computeClusters(Relation<V> database,
ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder,
DiSHDistanceFunction.Instance<V> distFunc)
Computes the hierarchical clusters according to the cluster order.
|
private Map<BitSet,List<Pair<BitSet,ArrayModifiableDBIDs>>> |
DiSH.extractClusters(Relation<V> database,
DiSHDistanceFunction.Instance<V> distFunc,
ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
Extracts the clusters from the cluster order.
|
| Modifier and Type | Field and Description |
|---|---|
(package private) ClusterOrderResult<D> |
OPTICSPlot.co
The result to plot
|
| Modifier and Type | Method and Description |
|---|---|
ClusterOrderResult<D> |
OPTICSPlot.getClusterOrder()
Get the cluster order we are attached to.
|
| Modifier and Type | Method and Description |
|---|---|
static <D extends Distance<D>> |
OPTICSPlot.canPlot(ClusterOrderResult<D> co)
Test whether this class can produce an OPTICS plot for the given cluster
order.
|
private static <D extends Distance<D>> |
OPTICSPlot.getAdapterForDistance(ClusterOrderResult<D> co)
Try to find a distance adapter.
|
static <D extends Distance<D>> |
OPTICSCut.makeOPTICSCut(ClusterOrderResult<D> co,
OPTICSDistanceAdapter<D> adapter,
double epsilon)
Compute an OPTICS cut clustering
|
static <D extends Distance<D>> |
OPTICSPlot.plotForClusterOrder(ClusterOrderResult<D> co,
VisualizerContext context)
Static method to find an optics plot for a result,
or to create a new one using the given context.
|
| Constructor and Description |
|---|
OPTICSPlot(ClusterOrderResult<D> co,
OPTICSColorAdapter colors)
Constructor, with automatic distance adapter detection.
|
OPTICSPlot(ClusterOrderResult<D> co,
OPTICSColorAdapter colors,
OPTICSDistanceAdapter<D> distanceAdapter)
Constructor.
|
| Modifier and Type | Field and Description |
|---|---|
private ClusterOrderResult<D> |
OPTICSProjector.clusterOrder
Cluster order result
|
| Modifier and Type | Method and Description |
|---|---|
ClusterOrderResult<D> |
OPTICSProjector.getResult()
Get the cluster order
|
| Constructor and Description |
|---|
OPTICSProjector(ClusterOrderResult<D> co)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
protected static OPTICSXi.SteepAreaResult |
OPTICSSteepAreaVisualization.findSteepAreaResult(ClusterOrderResult<?> co)
Find the OPTICS clustering child of a cluster order.
|
| Modifier and Type | Field and Description |
|---|---|
protected ClusterOrderResult<?> |
ClusterOrderVisualization.result
The result we visualize
|