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  2. Conceptual clustering - Wikipedia

    en.wikipedia.org/wiki/Conceptual_clustering

    The COBWEB data structure is a hierarchy (tree) wherein each node represents a given concept. Each concept represents a set (actually, a multiset or bag) of objects, each object being represented as a binary-valued property list. The data associated with each tree node (i.e., concept) are the integer property counts for the objects in that concept.

  3. Formal concept analysis - Wikipedia

    en.wikipedia.org/wiki/Formal_concept_analysis

    The original motivation of formal concept analysis was the search for real-world meaning of mathematical order theory.One such possibility of very general nature is that data tables can be transformed into algebraic structures called complete lattices, and that these can be utilized for data visualization and interpretation.

  4. General Concept Lattice - Wikipedia

    en.wikipedia.org/wiki/General_Concept_Lattice

    The General Concept Lattice (GCL) proposes a novel general construction of concept hierarchy from formal context, where the conventional Formal Concept Lattice based on Formal Concept Analysis (FCA) only serves as a substructure. [1] [2] [3] The formal context is a data table of heterogeneous relations illustrating how objects carrying attributes.

  5. Lattice Miner - Wikipedia

    en.wikipedia.org/wiki/Lattice_Miner

    Lattice Miner [1] is a formal concept analysis software tool for the construction, visualization and manipulation of concept lattices.It allows the generation of formal concepts and association rules as well as the transformation of formal contexts via apposition, subposition, reduction and object/attribute generalization, and the manipulation of concept lattices via approximation, projection ...

  6. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of () and requires () memory, which makes it too slow for even medium data sets. . However, for some special cases, optimal efficient agglomerative methods (of complexity ()) are known: SLINK [2] for single-linkage and CLINK [3] for complete-linkage clusteri

  7. DIKW pyramid - Wikipedia

    en.wikipedia.org/wiki/DIKW_Pyramid

    A standard representation of the pyramid form of DIKW models, from 2007 and earlier [1] [2]. The DIKW pyramid, also known variously as the knowledge pyramid, knowledge hierarchy, information hierarchy, [1]: 163 DIKW hierarchy, wisdom hierarchy, data pyramid, and information pyramid, [citation needed] sometimes also stylized as a chain, [3]: 15 [4] refer to models of possible structural and ...

  8. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    The concept of association rules was popularized particularly due to the 1993 article of Agrawal et al., [2] which has acquired more than 23,790 citations according to Google Scholar, as of April 2021, and is thus one of the most cited papers in the Data Mining field.

  9. Concept mining - Wikipedia

    en.wikipedia.org/wiki/Concept_mining

    Concept mining is an activity that results in the extraction of concepts from artifacts. Solutions to the task typically involve aspects of artificial intelligence and statistics , such as data mining and text mining .