Dimensionality Reduction [redukce dimenzionality]

topical
Terms

Fisherova diskriminační analýza
lineární diskriminační analýza
redukce rozměrů
singulární rozklad
snížení dimenzionality

 

Fisher's Linear Discriminant Analysis
Linear Discriminant Analysis
Singular Value Decomposition

Persistent link   https://www.medvik.cz/link/D000098405
Definition

A machine learning process used to reduce the number of attributes or features of data (called dimensionality) thereby simplifying understanding of the dataset without a loss in data integrity.

DUI
D000098405 MeSH Browser
CUI
M000766613
Previous indexing
Algorithms (1994-2024)
History note
2025
Public note
2025

Allowable subheadings

CL
classification
EC
economics
ES
ethics
HI
history
LJ
legislation & jurisprudence
ST
standards
SN
statistics & numerical data
SD
supply & distribution
TD
trends

E Analytical, Diagnostic and Therapeutic Techniques and Equipment
E05 Investigative Techniques 209
E05.318 Epidemiologic Methods 1 033
E05.318.740 Statistics as Topic 13 112
E05.318.740.100 Actuarial Analysis 22
E05.318.740.150 Analysis of Variance 492
E05.318.740.200 Area Under Curve 170
E05.318.740.225 Biometry 420
E05.318.740.237 Biostatistics 59
E05.318.740.244 Chemometrics 1
E05.318.740.250 Cluster Analysis 470
E05.318.740.275 Confidence Intervals 82
E05.318.740.300 Data Interpretation, Statistical 3 214
E05.318.740.325 Dimensionality Reduction
E05.318.740.325.250 Multifactor Dimensionality Reduction 1
E05.318.740.325.500 Principal Component Analysis 203
E05.318.740.350 Discriminant Analysis 89
E05.318.740.375 Equipment and Supplies Utilization 1
E05.318.740.388 Facilities and Services Utilization 3
E05.318.740.400 Factor Analysis, Statistical 492
E05.318.740.475 Matched-Pair Analysis 20
E05.318.740.500 Models, Statistical 468
E05.318.740.525 Monte Carlo Method 131
E05.318.740.600 Probability 275
E05.318.740.675 Procedures and Techniques Utilization 3
E05.318.740.750 Regression Analysis 671
E05.318.740.872 Sensitivity and Specificity 2 440
E05.318.740.933 Spatial Analysis 26
E05.318.740.994 Statistical Distributions 63
E05.318.740.995 Statistics, Nonparametric 421
E05.318.740.996 Stochastic Processes 117
E05.318.740.998 Survival Analysis 3 086

G Phenomena and Processes
G17 Mathematical Concepts 66
G17.035 Algorithms 2 718
G17.035.125 Adaptive Algorithms
G17.035.250 Artificial Intelligence 465
G17.035.250.500 Machine Learning 173
G17.035.250.500.250 Deep Learning 59
G17.035.250.500.375 Dimensionality Reduction
G17.035.250.500.375.500 Multifactor Dimensionality Reduction 1
G17.035.250.500.438 Ensemble Learning
G17.035.250.500.469 Federated Learning
G17.035.250.500.485 Reinforcement Machine Learning
G17.035.250.500.493 Representation Machine Learning
G17.035.250.500.500 Supervised Machine Learning 12
G17.035.250.500.625 Transfer Machine Learning
G17.035.250.500.750 Unsupervised Machine Learning 6
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 1
G17.035.532 Dimensionality Reduction
G17.035.532.500 Multifactor Dimensionality Reduction 1
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 2 718
L01.224.050.188 Adaptive Algorithms
L01.224.050.375 Artificial Intelligence 465
L01.224.050.375.530 Machine Learning 173
L01.224.050.375.530.250 Deep Learning 59
L01.224.050.375.530.375 Dimensionality Reduction
L01.224.050.375.530.375.500 Multifactor Dimensionality Reduction 1
L01.224.050.375.530.438 Ensemble Learning
L01.224.050.375.530.469 Federated Learning
L01.224.050.375.530.485 Reinforcement Machine Learning
L01.224.050.375.530.493 Representation Machine Learning
L01.224.050.375.530.500 Supervised Machine Learning 12
L01.224.050.375.530.625 Transfer Machine Learning
L01.224.050.375.530.750 Unsupervised Machine Learning 6
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 1
L01.224.050.609 Dimensionality Reduction
L01.224.050.609.500 Multifactor Dimensionality Reduction 1
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

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