Latent Class Analysis [analýza latentních tříd]

topical
10
Terms

analýza kategoriálních proměnných
latentní sémantické analýza
model latentních tříd
modelování pomocí strukturálních rovnic
modelování strukturálními rovnicemi
pLSA
pravděpodobnostní latentní sémantická analýza

 

Latent Class Model
Latent Variable Modeling
Probabilistic Latent Semantic Analysis
Structural Equation Modeling

Persistent link   https://www.medvik.cz/link/D000077272
Definition

A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters.

DUI
D000077272 MeSH Browser
CUI
M000640239
Previous indexing
Statistics as Topic (2017-2018)
History note
2019
Public note
2019

E Analytical, Diagnostic and Therapeutic Techniques and Equipment
E05 Investigative Techniques 209
E05.318 Epidemiologic Methods 1 030
E05.318.740 Statistics as Topic 13 073
E05.318.740.250 Cluster Analysis 466
E05.318.740.250.338 Latent Class Analysis 10
E05.318.740.250.507 Multidimensional Scaling Analysis
E05.318.740.250.675 Small-Area Analysis 8

G Phenomena and Processes
G17 Mathematical Concepts 66
G17.035 Algorithms 2 697
G17.035.125 Adaptive Algorithms
G17.035.250 Artificial Intelligence 394
G17.035.297 Autoencoder
G17.035.344 Backtracking Algorithms
G17.035.438 Boosting Machine Learning Algorithms
G17.035.485 Classification Algorithms
G17.035.509 Clustering Algorithms
G17.035.521 Compression Algorithms
G17.035.527 Detection Algorithms
G17.035.532 Dimensionality Reduction
G17.035.556 Dynamic Programming
G17.035.579 Generative Adversarial Networks
G17.035.602 Genetic Algorithms
G17.035.614 Hidden Markov Models
G17.035.625 Latent Class Analysis 10
G17.035.672 Machine Learning Algorithms
G17.035.684 Multiple-Instance Learning Algorithms
G17.035.696 Parallel Algorithms
G17.035.719 Particle Swarm Optimization
G17.035.766 Prediction Algorithms

L Information Science
L01 Information Science 166
L01.224 Computing Methodologies 159
L01.224.050 Algorithms 2 697
L01.224.050.188 Adaptive Algorithms
L01.224.050.375 Artificial Intelligence 394
L01.224.050.395 Autoencoder
L01.224.050.414 Backtracking Algorithms
L01.224.050.453 Boosting Machine Learning Algorithms
L01.224.050.531 Cellular Automata
L01.224.050.570 Classification Algorithms
L01.224.050.590 Clustering Algorithms
L01.224.050.600 Compression Algorithms
L01.224.050.605 Detection Algorithms
L01.224.050.609 Dimensionality Reduction
L01.224.050.629 Dynamic Programming
L01.224.050.648 Generative Adversarial Networks
L01.224.050.668 Genetic Algorithms
L01.224.050.678 Hidden Markov Models
L01.224.050.687 Latent Class Analysis 10
L01.224.050.726 Machine Learning Algorithms
L01.224.050.736 Multiple-Instance Learning Algorithms
L01.224.050.746 Parallel Algorithms
L01.224.050.765 Particle Swarm Optimization
L01.224.050.804 Prediction Algorithms

N Health Care
N05 Health Care Quality, Access, and Evaluation 685
N05.715 Quality of Health Care 2 492
N05.715.360 Health Care Evaluation Mechanisms 200
N05.715.360.750 Statistics as Topic 13 073
N05.715.360.750.200 Cluster Analysis 466
N05.715.360.750.200.375 Latent Class Analysis 10
N05.715.360.750.200.563 Multidimensional Scaling Analysis
N05.715.360.750.200.750 Small-Area Analysis 8
N06 Environment and Public Health 202
N06.850 Public Health 4 041
N06.850.520 Epidemiologic Methods 1 030
N06.850.520.830 Statistics as Topic 13 073
N06.850.520.830.250 Cluster Analysis 466
N06.850.520.830.250.338 Latent Class Analysis 10
N06.850.520.830.250.507 Multidimensional Scaling Analysis
N06.850.520.830.250.675 Small-Area Analysis 8

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