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 |
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ERiCNeighborPredicate.Instance
Instance for a particular data set.
|
GeneralizedDBSCAN
Generalized DBSCAN, density-based clustering with noise.
|
Class and Description |
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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 |
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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.