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 1 030
E05.318.740 Statistics as Topic 13 073
E05.318.740.100 Actuarial Analysis 22
E05.318.740.150 Analysis of Variance 491
E05.318.740.200 Area Under Curve 169
E05.318.740.225 Biometry 420
E05.318.740.237 Biostatistics 59
E05.318.740.244 Chemometrics 1
E05.318.740.250 Cluster Analysis 466
E05.318.740.275 Confidence Intervals 82
E05.318.740.300 Data Interpretation, Statistical 3 210
E05.318.740.325 Dimensionality Reduction
E05.318.740.325.250 Multifactor Dimensionality Reduction 1
E05.318.740.325.500 Principal Component Analysis 202
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 483
E05.318.740.475 Matched-Pair Analysis 20
E05.318.740.500 Models, Statistical 466
E05.318.740.525 Monte Carlo Method 128
E05.318.740.600 Probability 275
E05.318.740.675 Procedures and Techniques Utilization 2
E05.318.740.750 Regression Analysis 669
E05.318.740.872 Sensitivity and Specificity 2 409
E05.318.740.933 Spatial Analysis 26
E05.318.740.994 Statistical Distributions 63
E05.318.740.995 Statistics, Nonparametric 419
E05.318.740.996 Stochastic Processes 116
E05.318.740.998 Survival Analysis 3 051

G Phenomena and Processes
G17 Mathematical Concepts 66
G17.035 Algorithms 2 697
G17.035.125 Adaptive Algorithms
G17.035.250 Artificial Intelligence 394
G17.035.250.500 Machine Learning 148
G17.035.250.500.250 Deep Learning 51
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
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 2 697
L01.224.050.188 Adaptive Algorithms
L01.224.050.375 Artificial Intelligence 394
L01.224.050.375.530 Machine Learning 148
L01.224.050.375.530.250 Deep Learning 51
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
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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