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- OPTICS_algorithm abstract "Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel and Jörg Sander.Its basic idea is similar to DBSCAN, but it addresses one of DBSCAN's major weaknesses: the problem of detecting meaningful clusters in data of varying density. In order to do so, the points of the database are (linearly) ordered such that points which are spatially closest become neighbors in the ordering. Additionally, a special distance is stored for each point that represents the density that needs to be accepted for a cluster in order to have both points belong to the same cluster. This is represented as a dendrogram.".
- OPTICS_algorithm wikiPageExternalLink OPTICS.
- OPTICS_algorithm wikiPageExternalLink spmf.
- OPTICS_algorithm wikiPageExternalLink package=dbscan.
- OPTICS_algorithm wikiPageExternalLink OPTICS.
- OPTICS_algorithm wikiPageID "22509799".
- OPTICS_algorithm wikiPageLength "13209".
- OPTICS_algorithm wikiPageOutDegree "23".
- OPTICS_algorithm wikiPageRevisionID "705221645".
- OPTICS_algorithm wikiPageWikiLink Anomaly_detection.
- OPTICS_algorithm wikiPageWikiLink Category:Data_clustering_algorithms.
- OPTICS_algorithm wikiPageWikiLink Cluster_analysis.
- OPTICS_algorithm wikiPageWikiLink Clustering_high-dimensional_data.
- OPTICS_algorithm wikiPageWikiLink Correlation_clustering.
- OPTICS_algorithm wikiPageWikiLink DBSCAN.
- OPTICS_algorithm wikiPageWikiLink Dendrogram.
- OPTICS_algorithm wikiPageWikiLink ELKI.
- OPTICS_algorithm wikiPageWikiLink Fixed-radius_near_neighbors.
- OPTICS_algorithm wikiPageWikiLink Hans-Peter_Kriegel.
- OPTICS_algorithm wikiPageWikiLink Heap_(data_structure).
- OPTICS_algorithm wikiPageWikiLink Hierarchical_clustering.
- OPTICS_algorithm wikiPageWikiLink Priority_queue.
- OPTICS_algorithm wikiPageWikiLink Single-linkage_clustering.
- OPTICS_algorithm wikiPageWikiLink Spanning_tree.
- OPTICS_algorithm wikiPageWikiLink Spatial_database.
- OPTICS_algorithm wikiPageWikiLink Weka_(machine_learning).
- OPTICS_algorithm wikiPageWikiLink File:OPTICS.svg.
- OPTICS_algorithm wikiPageWikiLinkText "OPTICS algorithm".
- OPTICS_algorithm wikiPageWikiLinkText "OPTICS".
- OPTICS_algorithm wikiPageUsesTemplate Template:By_whom%3F.
- OPTICS_algorithm wikiPageUsesTemplate Template:Machine_learning_bar.
- OPTICS_algorithm wikiPageUsesTemplate Template:Reflist.
- OPTICS_algorithm subject Category:Data_clustering_algorithms.
- OPTICS_algorithm hypernym Algorithm.
- OPTICS_algorithm type Software.
- OPTICS_algorithm type Algorithm.
- OPTICS_algorithm type Datum.
- OPTICS_algorithm comment "Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel and Jörg Sander.Its basic idea is similar to DBSCAN, but it addresses one of DBSCAN's major weaknesses: the problem of detecting meaningful clusters in data of varying density.".
- OPTICS_algorithm label "OPTICS algorithm".
- OPTICS_algorithm sameAs Q2007847.
- OPTICS_algorithm sameAs OPTICS.
- OPTICS_algorithm sameAs OPTICS.
- OPTICS_algorithm sameAs m.05zxvdx.
- OPTICS_algorithm sameAs OPTICS.
- OPTICS_algorithm sameAs Q2007847.
- OPTICS_algorithm wasDerivedFrom OPTICS_algorithm?oldid=705221645.
- OPTICS_algorithm isPrimaryTopicOf OPTICS_algorithm.