Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
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.projections |
Visualization projections
|
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.scatterplot.cluster |
Visualizers for clustering results based on 2D projections.
|
Modifier and Type | Class and Description |
---|---|
class |
GeneralizedOPTICS<O,R extends ClusterOrder>
A trivial generalization of OPTICS that is not restricted to numerical
distances, and serves as a base for several other algorithms (HiCO, HiSC).
|
Modifier and Type | Class and Description |
---|---|
class |
CorrelationClusterOrder
Cluster order entry for correlation-based OPTICS variants.
|
Modifier and Type | Field and Description |
---|---|
(package private) ClusterOrder |
OPTICSList.Instance.clusterOrder
Output cluster order.
|
(package private) ClusterOrder |
OPTICSHeap.Instance.clusterOrder
Output cluster order.
|
(package private) ClusterOrder |
OPTICSXi.SteepScanPosition.co
Cluster order
|
(package private) ClusterOrder |
FastOPTICS.order
Result: output order of points
|
Modifier and Type | Method and Description |
---|---|
ClusterOrder |
OPTICSList.Instance.run()
Process the data set.
|
ClusterOrder |
OPTICSHeap.Instance.run()
Process the data set.
|
ClusterOrder |
OPTICSTypeAlgorithm.run(Database database) |
ClusterOrder |
DeLiClu.run(Database database,
Relation<NV> relation) |
abstract ClusterOrder |
AbstractOPTICS.run(Database db,
Relation<O> relation)
Run OPTICS on the database.
|
ClusterOrder |
OPTICSList.run(Database db,
Relation<O> relation) |
abstract ClusterOrder |
GeneralizedOPTICS.run(Database db,
Relation<O> relation)
Run OPTICS on the database.
|
ClusterOrder |
OPTICSHeap.run(Database db,
Relation<O> relation) |
ClusterOrder |
FastOPTICS.run(Database db,
Relation<V> rel)
Run the algorithm.
|
Modifier and Type | Method and Description |
---|---|
protected void |
FastOPTICS.expandClusterOrder(DBID ipt,
ClusterOrder order,
DistanceQuery<V> dq,
FiniteProgress prog)
OPTICS algorithm for processing a point, but with different density
estimates
|
private Clustering<OPTICSModel> |
OPTICSXi.extractClusters(ClusterOrder clusterOrderResult,
Relation<?> relation,
double ixi,
int minpts)
Extract clusters from a cluster order result.
|
Constructor and Description |
---|
SteepScanPosition(ClusterOrder co)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
static class |
DiSH.DiSHClusterOrder
DiSH cluster order.
|
Modifier and Type | Method and Description |
---|---|
ClusterOrder |
HiSC.run(Database db,
Relation<V> relation) |
Modifier and Type | Field and Description |
---|---|
(package private) ClusterOrder |
OPTICSPlot.co
The result to plot.
|
Modifier and Type | Method and Description |
---|---|
static <E extends ClusterOrder> |
OPTICSCut.makeOPTICSCut(E co,
double epsilon)
Compute an OPTICS cut clustering
|
Modifier and Type | Method and Description |
---|---|
ClusterOrder |
OPTICSPlot.getClusterOrder()
Get the cluster order we are attached to.
|
Modifier and Type | Method and Description |
---|---|
protected LinearScale |
OPTICSPlot.computeScale(ClusterOrder order)
Compute the scale (value range)
|
static OPTICSPlot |
OPTICSPlot.plotForClusterOrder(ClusterOrder 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(ClusterOrder co,
StylingPolicy colors)
Constructor, with automatic distance adapter detection.
|
Modifier and Type | Method and Description |
---|---|
ClusterOrder |
OPTICSProjection.getResult()
Get the OPTICS cluster order.
|
Modifier and Type | Field and Description |
---|---|
private ClusterOrder |
OPTICSProjector.clusterOrder
Cluster order result
|
Modifier and Type | Method and Description |
---|---|
ClusterOrder |
OPTICSProjector.getResult()
Get the cluster order
|
Constructor and Description |
---|
OPTICSProjector(ClusterOrder co)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected ClusterOrder |
AbstractOPTICSVisualization.getClusterOrder()
Access the raw cluster order
|
Modifier and Type | Method and Description |
---|---|
protected static OPTICSXi.SteepAreaResult |
OPTICSSteepAreaVisualization.findSteepAreaResult(ClusterOrder co)
Find the OPTICS clustering child of a cluster order.
|
private int |
OPTICSPlotSelectionVisualization.Instance.getSelectedIndex(ClusterOrder order,
org.w3c.dom.svg.SVGPoint cPt)
Gets the Index of the ClusterOrderEntry where the event occurred
|
Modifier and Type | Field and Description |
---|---|
protected ClusterOrder |
ClusterOrderVisualization.Instance.result
The result we visualize
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.