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This Concept Map, created with IHMC CmapTools, has information related to: Classification models and methods, organizational intentions - classifier assignments control classification category assignments supports FOL, descriptive profile truth-values may be assigned to clinical statements, Aristotle classification is Static, n dimensional vector space of truth-values - an array of discrete truth-values - vectors are referred to as profiles reflects object, document or entity characteristics as expressed by objects encoded using the respective encoding methods for representing features - leverages empirical characteristics to control computation of classification category assignments, descriptive profile truth-values may be assigned to Novakian Concept maps, descriptive profile truth-values may be assigned to concepts, Probabilistic is Dynamically recomputable, cosine calculation on term frequency distribution document feature vectors, Aristotle classification reflects organizational intentions - classifier assignments control classification category assignments, object, document or entity clusters implemented by Salton, Salton defined modern information retrieval, n dimensional vector space of truth-values - an array of discrete truth-values - vectors are referred to as profiles computes relationships between truth-value arrays, n dimensional vector space of truth-values - an array of discrete truth-values - vectors are referred to as profiles where a profile, organizational intentions - classifier assignments control classification category assignments does not support negation, n dimensional vector space of truth-values - an array of discrete truth-values - vectors are referred to as profiles supports negation, Aristotle classification enables a single tree model or mono hierarchy to be defined by successive division using differentae, faceted classification accommodates faceted truth-values > binary, Deterministic Inductive Logic (DIL) is Dynamically recomputable, n dimensional vector space of quantities - an array of quantities - vectors are referred to as feature vectors reflects object, document or entity characteristics as expressed by objects encoded using the respective encoding methods for representing features - leverages empirical characteristics to control computation of classification category assignments, relationships between truth-value arrays of groups of cases