Last modified 9 months ago
Last modified on 09/02/12 15:30:51
Data mining algorithms
The following data-mining algorithms are included in the ELKI 0.5.0 release.
For literature references, click on the individual algorithms or the references overview in the JavaDoc documentation. See also RelatedPublications
- Clustering Algorithms:
- DBSCAN
- DeLiClu
- EM
- GeneralizedDBSCAN
- K-Means family:
- OPTICSXi
- OPTICS
- SLINK
- SNNClustering
- Correlation clustering algorithms:
- Subspace (axis-parallel) clustering algorithms:
- Trivial clustering algorithms (for reference and evaluation):
- Outlier Detection
- ABOD
- AggarwalYuEvolutionary
- AggarwalYuNaive
- ALOCI
- DBOutlierDetection
- DBOutlierScore
- EMOutlier
- GaussianModel
- GaussianUniformMixture
- HilOut
- INFLO
- KNNOutlier
- KNNWeightOutlier
- LDOF
- LOCI
- LOF
- LoOP
- OPTICSOF
- ReferenceBasedOutlierDetection
- OnlineLOF
- Subspace outlier detection:
- Spatial outlier detection:
- Meta outlier methods:
- Trivial outlier methods (for reference and evaluation):
- APRIORI
- DependencyDerivator
- KNNDistanceOrder
- KNNJoin
- MaterializeDistances
- Data set statistics: