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- HCS_clustering_algorithm abstract "The HCS (Highly Connected Subgraphs) clustering algorithm (also known as the HCS algorithm , and other names such as Highly Connected Clusters/Components/Kernels) is an algorithm based on graph connectivity for Cluster analysis, by first representing the similarity data in a similarity graph, and afterwards finding all the highly connected subgraphs as clusters. The algorithm does not make any prior assumptions on the number of the clusters. This algorithm was published by Erez Hartuv (erez dot hartuv at gmail dot com) and Ron Shamir in 1998.The HCS algorithm gives clustering solution, which is inherently meaningful in the application domain, since each solution cluster must have diameter 2 while a union of two solution clusters will have diameter 3.".
- HCS_clustering_algorithm wikiPageExternalLink highlyConnSG.html.
- HCS_clustering_algorithm wikiPageExternalLink book_chpt5_GT_NP.pdf.
- HCS_clustering_algorithm wikiPageExternalLink 12446298_An_Algorithm_for_Clustering_cDNA_Fingerprints.
- HCS_clustering_algorithm wikiPageExternalLink 222648006_A_clustering_algorithm_based_on_graph_connectivity.
- HCS_clustering_algorithm wikiPageExternalLink 259350461_Partitioning_Biological_Networks_into_Highly_Connected_Clusters_with_Maximum_Edge_Coverage.
- HCS_clustering_algorithm wikiPageID "39226029".
- HCS_clustering_algorithm wikiPageLength "8729".
- HCS_clustering_algorithm wikiPageOutDegree "10".
- HCS_clustering_algorithm wikiPageRevisionID "675419385".
- HCS_clustering_algorithm wikiPageWikiLink Category:Algorithms.
- HCS_clustering_algorithm wikiPageWikiLink Clique_problem.
- HCS_clustering_algorithm wikiPageWikiLink Cluster_analysis.
- HCS_clustering_algorithm wikiPageWikiLink Graph_(abstract_data_type).
- HCS_clustering_algorithm wikiPageWikiLink Graph_(data_structure).
- HCS_clustering_algorithm wikiPageWikiLink Highly_Connected_Subgraph.
- HCS_clustering_algorithm wikiPageWikiLink Minimum_cut.
- HCS_clustering_algorithm wikiPageWikiLink Ron_Shamir.
- HCS_clustering_algorithm wikiPageWikiLink Similarity_graph.
- HCS_clustering_algorithm wikiPageWikiLink File:HCS_Algorithm.gif.
- HCS_clustering_algorithm wikiPageWikiLinkText "HCS clustering algorithm".
- HCS_clustering_algorithm wikiPageWikiLinkText "HCS clustering".
- HCS_clustering_algorithm class Cluster_analysis.
- HCS_clustering_algorithm data Graph_(abstract_data_type).
- HCS_clustering_algorithm data Graph_(data_structure).
- HCS_clustering_algorithm hasPhotoCollection HCS_clustering_algorithm.
- HCS_clustering_algorithm time "O".
- HCS_clustering_algorithm wikiPageUsesTemplate Template:Infobox_Algorithm.
- HCS_clustering_algorithm wikiPageUsesTemplate Template:Reflist.
- HCS_clustering_algorithm wikiPageUsesTemplate Template:See_also.
- HCS_clustering_algorithm subject Category:Algorithms.
- HCS_clustering_algorithm hypernym Algorithm.
- HCS_clustering_algorithm type Software.
- HCS_clustering_algorithm type Algorithm.
- HCS_clustering_algorithm type Concept.
- HCS_clustering_algorithm type Thing.
- HCS_clustering_algorithm comment "The HCS (Highly Connected Subgraphs) clustering algorithm (also known as the HCS algorithm , and other names such as Highly Connected Clusters/Components/Kernels) is an algorithm based on graph connectivity for Cluster analysis, by first representing the similarity data in a similarity graph, and afterwards finding all the highly connected subgraphs as clusters. The algorithm does not make any prior assumptions on the number of the clusters.".
- HCS_clustering_algorithm label "HCS clustering algorithm".
- HCS_clustering_algorithm seeAlso Connectivity_(graph_theory).
- HCS_clustering_algorithm seeAlso Distance_(graph_theory).
- HCS_clustering_algorithm seeAlso Kargers_algorithm.
- HCS_clustering_algorithm seeAlso Minimum_cut.
- HCS_clustering_algorithm sameAs m.0tkfnh7.
- HCS_clustering_algorithm sameAs Q17091469.
- HCS_clustering_algorithm sameAs Q17091469.
- HCS_clustering_algorithm wasDerivedFrom HCS_clustering_algorithm?oldid=675419385.
- HCS_clustering_algorithm isPrimaryTopicOf HCS_clustering_algorithm.