Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
Modifier and Type | Method and Description |
---|---|
Clustering<PrototypeModel<O>> |
CanopyPreClustering.run(Database database,
Relation<O> relation)
Run the algorithm
|
Modifier and Type | Class and Description |
---|---|
class |
EMModel
Cluster model of an EM cluster, providing a mean and a full covariance
Matrix.
|
class |
KMeansModel
Trivial subclass of the
MeanModel that indicates the clustering to be
produced by k-means (so the Voronoi cell visualization is sensible). |
class |
MeanModel
Cluster model that stores a mean for the cluster.
|
class |
MedoidModel
Cluster model that stores a mean for the cluster.
|
class |
SubspaceModel
Model for Subspace Clusters.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.