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Analýza zhlukov×Modelovanie štruktúrnymi rovnicami (SEM)×
OdborŠtatistikaŠtatistika
RodinaLatent structureLatent structure
Rok vzniku1939–19671970
TvorcaRobert C. Tryon (early development); Ward (1963) for hierarchical; MacQueen (1967) for k-meansKarl Jöreskog (LISREL framework, 1970s)
TypUnsupervised classification / groupingLatent variable / causal modeling
Pôvodný zdrojEveritt, B. S., Landau, S., Leese, M. & Stahl, D. (2011). Cluster Analysis (5th ed.). Wiley. ISBN: 978-0470749913Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Ďalšie názvyclustering, unsupervised classification, data clustering, numerical taxonomyYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Príbuzné55
ZhrnutieCluster 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.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGatePorovnať metódy: Cluster Analysis · SEM. Získané 2026-06-17 z https://scholargate.app/sk/compare