مقایسهٔ روش‌ها

	تحلیل خوشه‌ای	تحلیل تمایز
حوزه	آمار	آمار
خانواده	Latent structure	Latent structure
سال پیدایش	1939–1967	1936
پدیدآور	Robert C. Tryon (early development); Ward (1963) for hierarchical; MacQueen (1967) for k-means	Ronald A. Fisher
نوع	Unsupervised classification / grouping	Supervised classification and dimension reduction
منبع بنیادین	Everitt, B. S., Landau, S., Leese, M. & Stahl, D. (2011). Cluster Analysis (5th ed.). Wiley. ISBN: 978-0470749913	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.
نام‌های دیگر	clustering, unsupervised classification, data clustering, numerical taxonomy	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis
مرتبط	5	4
خلاصه	Cluster analysis is a family of unsupervised multivariate techniques that partition a set of objects or observations into internally homogeneous, mutually distinct groups — clusters — based on measured characteristics, without any prior knowledge of group membership. It is widely used in market segmentation, bioinformatics, psychology, and social science to reveal natural groupings in data.	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.