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- HCS_clustering_algorithm abstract "The HCS clustering algorithm (also known as the HCS algorithm) is an algorithm 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 and Ron Shamir in 1999.There are different approaches towards how to model the similarity data for the problem of cluster analysis. For each of these cluster models again different algorithms can be given. HCS clustering algorithm works on connectivity models, where a high density of edges between vertices indicates high similarity between elements.".
- HCS_clustering_algorithm wikiPageID "39226029".
- HCS_clustering_algorithm wikiPageRevisionID "565514642".
- HCS_clustering_algorithm class Cluster_analysis.
- HCS_clustering_algorithm data Graph_(abstract_data_type).
- HCS_clustering_algorithm time "O".
- HCS_clustering_algorithm subject Category:Algorithms.
- HCS_clustering_algorithm comment "The HCS clustering algorithm (also known as the HCS algorithm) is an algorithm 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 and Ron Shamir in 1999.There are different approaches towards how to model the similarity data for the problem of cluster analysis.".
- HCS_clustering_algorithm label "HCS clustering algorithm".
- HCS_clustering_algorithm sameAs m.0tkfnh7.
- HCS_clustering_algorithm sameAs Q17091469.
- HCS_clustering_algorithm sameAs Q17091469.
- HCS_clustering_algorithm wasDerivedFrom HCS_clustering_algorithm?oldid=565514642.
- HCS_clustering_algorithm isPrimaryTopicOf HCS_clustering_algorithm.