FCA offers methods to split large diagrams, browse through lattices, and coarsen views while preserving information.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Due to its elementary yet powerful formal theory, FCA can express other methods, and therefore has the potential to unify the methodology of data analysis.claim0.839
  Ganter's assertion about FCA's foundational role and integrative potential in data analysis.
• Formal Concept Analysis (FCA)framework0.774
• The images or schemata that guide actions may be wholeness preserving or not, and modern architects often paid no attention to existing wholeness.claim0.760
  Moral evaluation of modern architecture.
• The information contained in the formal context is preserved when transformed into a concept lattice.claim0.757
• Structure-preserving transformations that continually modify wholeness slowly cause space to be filled with unfolded I-like centers.claim0.755
  Proposition 3 of the Mid-Book Appendix; the claim linking the mathematical process of unfolding to the emergence of I-likeness in natural and built structures.
• Combining visualization and statistical analysis enables deeper understanding of the fifteen properties and their interactions.claim0.754
• Certain kinds of information structures actively facilitate their own transformation and remapping, exhibiting minimal agency.hypothesis0.751
  Speculative hypothesis that memories themselves are agents.
• Monitors are not as flexible as tuples for building distributed data structures.claim0.749
  Comparison arguing that monitors restrict concurrent access and complicate distributed structures.