The role of cluster analysis on traditional cephalometric dimensions.
In order to categorize (classify) craniofacial forms, varying linear dimensional arrays from a series of pretreatment cephalographs ('A' records) were subjected to cluster analysis. The derived subgroups (clusters) not only showed inconsistencies in their component patients, but also their 'nearest neighbors', i.e. cases identified as being most similar to one another. This study, therefore, emphasized the need to devise more appropriate cephalometric appraisal techniques for patient categorization (diagnosis).
Finkelstein
M
M
Department of Preventive Dental Science, Faculty of Dentistry, Winnipeg, Manitoba, Canada.
Lavelle
C L
CL
Hassard
T
T
D000293:Adolescent; D002508:Cephalometry / Q000145:classification / Q000706:statistics & numerical data; D005069:Evaluation Studies as Topic; D005260:Female; D006801:Humans; D008310:Malocclusion / Q000175:diagnosis; D012189:Retrospective Studies