km#conceptual_clustering__concept_clusterization__conceptclusterization  it can be used both for KA and IR, from knowledge or data
  supertype:  classification
  subtype:  conceptual_clustering_via_a_generalization_hierarchy
     subtype:  conceptual_clustering_via_a_category_generalization_hierarchy
        subtype:  FCA_based_conceptual_clustering
           subtype:  FCA_attribute_exploration  FCA technique addressing the problem of a context where the object set is not completely known a priori, or too large to be listed
           subtype:  FCA_concept_exploration  FCA technique addressing the problem of a context where both the object set and the attribute set are not completely known a priori, or too large to be listed
        subtype:  type_classification
        subtype:  instance_classification__instance_learning  assignement of instances to types of concepts/relations
     subtype:  conceptual_clustering_via_a_CG_generalization_hierarchy
  subtype:  conceptual_clustering_from_data
     subtype:  conceptual_clustering_from_database
     subtype:  conceptual_clustering_from_documents
        subtype:  conceptual_clustering_from_emails

7 statements are about indirect instances of conceptual_clustering: graph13_on_article, graph15_on_article, graph18_on_article, graph1_on_PhD_thesis, graph2_on_PhD_thesis, graph25_on_article, graph34_on_article
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