Uses of Package
de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
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

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Class and Description
CorrelationClusterOrder Cluster order entry for correlation-based OPTICS variants.
GeneralizedOPTICS A trivial generalization of OPTICS that is not restricted to numerical distances, and serves as a base for several other algorithms (HiCO, HiSC).
GeneralizedOPTICS.Instance Instance for processing a single data set.
OPTICSTypeAlgorithm Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Class and Description
AbstractOPTICS The OPTICS algorithm for density-based hierarchical clustering.
AbstractOPTICS.Parameterizer Parameterization class.
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.
DeLiClu DeliClu: Density-Based Hierarchical Clustering A hierarchical algorithm to find density-connected sets in a database, closely related to OPTICS but exploiting the structure of a R-tree for acceleration.
DeLiClu.SpatialObjectPair Encapsulates an entry in the cluster order.
FastOPTICS FastOPTICS algorithm (Fast approximation of OPTICS) Note that this is not FOPTICS as in "Fuzzy OPTICS"!
OPTICSHeap The OPTICS algorithm for density-based hierarchical clustering.
OPTICSHeapEntry Entry in the priority heap.
OPTICSList The OPTICS algorithm for density-based hierarchical clustering.
OPTICSTypeAlgorithm Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.
OPTICSXi Extract clusters from OPTICS Plots using the original Xi extraction.
OPTICSXi.SteepArea Data structure to represent a steep-down-area for the xi method.
OPTICSXi.SteepDownArea Data structure to represent a steep-down-area for the xi method.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.
CorrelationClusterOrder Cluster order entry for correlation-based OPTICS variants.
GeneralizedOPTICS A trivial generalization of OPTICS that is not restricted to numerical distances, and serves as a base for several other algorithms (HiCO, HiSC).
GeneralizedOPTICS.Instance Instance for processing a single data set.
OPTICSTypeAlgorithm Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.visualization.opticsplot

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.visualization.projections

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.visualization.projector

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.visualization.visualizers.optics

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.
OPTICSXi.SteepAreaResult Result containing the chi-steep areas.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics used by de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster

Class and Description
ClusterOrder Class to store the result of an ordering clustering algorithm such as OPTICS.