Preferred Label : cluster analysis;
IUPAC definition : cluster analysis is the clustering, or grouping, of large data sets ( i e.g /i .,
chemical and/or pharmacological data sets) on the basis of similarity criteria for
appropriately scaled variables that represent the data of interest. Similarity criteria
(distance based, associative, correlative, probabilistic) among the several clusters
facilitate the recognition of patterns and reveal otherwise hidden structures.;
Origin ID : CT06950;
UMLS CUI : C0009085;
Currated CISMeF NLP mapping
- See also
- Semantic type(s)
- UMLS correspondences (same concept)
cluster analysis is the clustering, or grouping, of large data sets ( i e.g /i .,
chemical and/or pharmacological data sets) on the basis of similarity criteria for
appropriately scaled variables that represent the data of interest. Similarity criteria
(distance based, associative, correlative, probabilistic) among the several clusters
facilitate the recognition of patterns and reveal otherwise hidden structures.
