| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | 
 Correlation clustering algorithms 
 | 
| de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan | 
 Generalized DBSCAN
 
 Generalized DBSCAN is an abstraction of the original DBSCAN idea,
 that allows the use of arbitrary "neighborhood" and "core point" predicates. 
 | 
| de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel | 
 Parallel versions of Generalized DBSCAN. 
 | 
| 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.algorithm.clustering.uncertain | 
 Clustering algorithms for uncertain data. 
 | 
| Class and Description | 
|---|
| ERiCNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| GeneralizedDBSCAN
 Generalized DBSCAN, density-based clustering with noise. 
 | 
| Class and Description | 
|---|
| AbstractRangeQueryNeighborPredicate
 Abstract local model neighborhood predicate. 
 | 
| AbstractRangeQueryNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| COPACNeighborPredicate
 COPAC neighborhood predicate. 
 | 
| COPACNeighborPredicate.COPACModel
 Model used by COPAC for core point property. 
 | 
| COPACNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| CorePredicate
 Predicate for GeneralizedDBSCAN to evaluate whether a point is a core point
 or not. 
 | 
| CorePredicate.Instance
 Instance for a particular data set. 
 | 
| EpsilonNeighborPredicate
 The default DBSCAN and OPTICS neighbor predicate, using an
 epsilon-neighborhood. 
 | 
| EpsilonNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| ERiCNeighborPredicate
 ERiC neighborhood predicate. 
 | 
| ERiCNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| FourCCorePredicate
 The 4C core point predicate. 
 | 
| FourCCorePredicate.Instance
 Instance for a particular data set. 
 | 
| FourCNeighborPredicate
 4C identifies local subgroups of data objects sharing a uniform correlation. 
 | 
| FourCNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| GeneralizedDBSCAN
 Generalized DBSCAN, density-based clustering with noise. 
 | 
| LSDBC
 Locally Scaled Density Based Clustering. 
 | 
| MinPtsCorePredicate
 The DBSCAN default core point predicate -- having at least  
MinPtsCorePredicate.minpts
 neighbors. | 
| MinPtsCorePredicate.Instance
 Instance for a particular data set. 
 | 
| NeighborPredicate
 Get the neighbors of an object
 
 Note the Factory/Instance split of this interface. 
 | 
| NeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| PreDeConCorePredicate
 The PreDeCon core point predicate -- having at least minpts. neighbors, and a
 maximum preference dimensionality of lambda. 
 | 
| PreDeConCorePredicate.Instance
 Instance for a particular data set. 
 | 
| PreDeConNeighborPredicate
 Neighborhood predicate used by PreDeCon. 
 | 
| PreDeConNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| PreDeConNeighborPredicate.PreDeConModel
 Model used by PreDeCon for core point property. 
 | 
| SimilarityNeighborPredicate
 The DBSCAN neighbor predicate for a  
SimilarityFunction, using all
 neighbors with a minimum similarity. | 
| SimilarityNeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| Class and Description | 
|---|
| CorePredicate
 Predicate for GeneralizedDBSCAN to evaluate whether a point is a core point
 or not. 
 | 
| CorePredicate.Instance
 Instance for a particular data set. 
 | 
| NeighborPredicate
 Get the neighbors of an object
 
 Note the Factory/Instance split of this interface. 
 | 
| NeighborPredicate.Instance
 Instance for a particular data set. 
 | 
| Class and Description | 
|---|
| GeneralizedDBSCAN
 Generalized DBSCAN, density-based clustering with noise. 
 | 
| Class and Description | 
|---|
| GeneralizedDBSCAN
 Generalized DBSCAN, density-based clustering with noise. 
 | 
| NeighborPredicate
 Get the neighbors of an object
 
 Note the Factory/Instance split of this interface. 
 | 
| NeighborPredicate.Instance
 Instance for a particular data set. 
 | 
Copyright © 2019 ELKI Development Team. License information.