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O

objectID - Variable in class elki.clustering.optics.OPTICSHeapEntry

The id of the entry.

objectIDs - Variable in class elki.clustering.correlation.ORCLUS.ORCLUSCluster

The ids of the objects belonging to this cluster.

objectIDs - Variable in class elki.clustering.subspace.PROCLUS.PROCLUSCluster

The ids of the objects belonging to this cluster.

objIDs - Variable in class elki.evaluation.clustering.pairsegments.Segment

IDs in segment, for object segments.

objprog - Variable in class elki.clustering.dbscan.DBSCAN.Instance

Progress for objects (may be null).

offset - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Grid offset.

optics - Variable in class elki.clustering.optics.OPTICSXi

The actual algorithm we use.

optics - Variable in class elki.clustering.optics.OPTICSXi.Par

OPTICS_ID - Static variable in class elki.clustering.hierarchical.OPTICSToHierarchical.Par

Option ID for the OPTICS algorithm.

OPTICSHeap<O> - Class in elki.clustering.optics

The OPTICS algorithm for density-based hierarchical clustering.

OPTICSHeap(Distance<? super O>, double, int) - Constructor for class elki.clustering.optics.OPTICSHeap

Constructor.

OPTICSHeap.Instance - Class in elki.clustering.optics

Instance for processing a single data set.

OPTICSHeap.Par<O> - Class in elki.clustering.optics

Parameterization class.

OPTICSHeapEntry - Class in elki.clustering.optics

Entry in the priority heap.

OPTICSHeapEntry(DBID, DBID, double) - Constructor for class elki.clustering.optics.OPTICSHeapEntry

Creates a new entry in a cluster order with the specified parameters.

OPTICSList<O> - Class in elki.clustering.optics

The OPTICS algorithm for density-based hierarchical clustering.

OPTICSList(Distance<? super O>, double, int) - Constructor for class elki.clustering.optics.OPTICSList

Constructor.

OPTICSList.Instance - Class in elki.clustering.optics

Instance for processing a single data set.

OPTICSList.Par<O> - Class in elki.clustering.optics

Parameterization class.

OPTICSModel - Class in elki.data.model

Model for an OPTICS cluster

OPTICSModel(int, int) - Constructor for class elki.data.model.OPTICSModel

OPTICSToHierarchical - Class in elki.clustering.hierarchical

Convert a OPTICS ClusterOrder to a hierarchical clustering.

OPTICSToHierarchical(OPTICSTypeAlgorithm) - Constructor for class elki.clustering.hierarchical.OPTICSToHierarchical

Constructor.

OPTICSToHierarchical.Par - Class in elki.clustering.hierarchical

Parameterization class

OPTICSTypeAlgorithm - Interface in elki.clustering.optics

Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.

OPTICSXi - Class in elki.clustering.optics

Extract clusters from OPTICS plots using the original ξ (Xi) extraction, which defines steep areas if the reachability drops below 1-ξ, respectively increases to 1+ξ, of the current value, then constructs valleys that begin with a steep down, and end with a matching steep up area.

OPTICSXi(OPTICSTypeAlgorithm, double) - Constructor for class elki.clustering.optics.OPTICSXi

Constructor.

OPTICSXi(OPTICSTypeAlgorithm, double, boolean, boolean) - Constructor for class elki.clustering.optics.OPTICSXi

Constructor.

OPTICSXi.ClusterHierarchyBuilder - Class in elki.clustering.optics

Class to build the hierarchical clustering result structure.

OPTICSXi.Par - Class in elki.clustering.optics

Parameterization class.

OPTICSXi.SteepArea - Class in elki.clustering.optics

Data structure to represent a steep-down-area for the xi method.

OPTICSXi.SteepAreaResult - Class in elki.clustering.optics

Result containing the xi-steep areas.

OPTICSXi.SteepDownArea - Class in elki.clustering.optics

Data structure to represent a steep-down-area for the xi method.

OPTICSXi.SteepScanPosition - Class in elki.clustering.optics

Position when scanning for steep areas

OPTICSXi.SteepUpArea - Class in elki.clustering.optics

Data structure to represent a steep-down-area for the xi method.

optimalTransfer() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance

In this stage, there is only one pass through the data.

optimizeOrder() - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Find an optimized processing order, where merges are by ascending depth where possible (not guaranteed for non-reducible linkages).

optries - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance

Number of attempts to make an optimal transfer.

ORCLUS - Class in elki.clustering.correlation

ORCLUS: Arbitrarily ORiented projected CLUSter generation.

ORCLUS(int, int, int, double, RandomFactory, PCARunner) - Constructor for class elki.clustering.correlation.ORCLUS

Java constructor.

ORCLUS.ORCLUSCluster - Class in elki.clustering.correlation

Encapsulates the attributes of a cluster.

ORCLUS.Par - Class in elki.clustering.correlation

Parameterization class.

ORCLUS.ProjectedEnergy - Class in elki.clustering.correlation

Encapsulates the projected energy for a cluster.

ORCLUSCluster() - Constructor for class elki.clustering.correlation.ORCLUS.ORCLUSCluster

Creates a new empty cluster.

ORCLUSCluster(double[], DBIDRef) - Constructor for class elki.clustering.correlation.ORCLUS.ORCLUSCluster

Creates a new cluster containing the specified object o.

order - Variable in class elki.clustering.optics.FastOPTICS

Result: output order of points

order(DBIDs) - Method in class elki.clustering.optics.ClusterOrder

Use the cluster order to sort the given collection ids.

orderMeans() - Method in class elki.clustering.kmeans.AnnulusKMeans.Instance

Recompute the separation of cluster means.

originV - Variable in class elki.clustering.correlation.LMCLUS.Separation

Origin vector

Ostrovsky - Class in elki.clustering.kmeans.initialization

Ostrovsky initial means, a variant of k-means++ that is expected to give slightly better results on average, but only works for k-means and not for, e.g., PAM (k-medoids).

Ostrovsky(RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.Ostrovsky

Constructor.

Ostrovsky.NumberVectorInstance - Class in elki.clustering.kmeans.initialization

Instance for number vectors.

Ostrovsky.Par - Class in elki.clustering.kmeans.initialization

Parameterization class.

OUT_ID - Static variable in class elki.result.ClusteringVectorDumper.Par

Output file name parameter.

output - Variable in class elki.clustering.silhouette.FastMSC.Instance

Output cluster mapping.

outputFile - Variable in class elki.result.ClusteringVectorDumper

Output file.

outputFile - Variable in class elki.result.ClusteringVectorDumper.Par

Output file.

overflown - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Indicates that the number of grid cells has overflown.

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