Dimension reduction (Statistics)

Principal manifolds for data visualization and dimension reduction by: (Electronic resources)

Open problems in spectral dimensionality reduction by: (Electronic resources)

Method of dimensionality reduction in contact mechanics and friction by: (Electronic resources)

Linear dimensionality reduction by: (Electronic resources)

Robust methods for data reduction / by: (Language materials, printed)

Nonlinear dimensionality reduction techniques = a data structure preservation approach / by: (Electronic resources)

Elements of dimensionality reduction and manifold learning by: (Electronic resources)

Dimensionality reduction of hyperspectral imagery by: (Electronic resources)

Model order reduction for design, analysis and control of nonlinear vibratory systems by: (Electronic resources)

Data visualization with category theory and geometry = with a critical analysis and refinement of UMAP / by: (Electronic resources)

Image Processing and Computer Vision.

Appl.Mathematics/Computational Methods of Engineering.

Data Structures and Information Theory.

Signal, Image and Speech Processing.

Signal, Speech and Image Processing.

Nonlinear mechanics.

Information visualization.

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Principal components analysis.

Friction.

Operating Procedures, Materials Treatment.

Engineering Design.

Geographical Information System.

Vibration- Mathematical models.

Statistical Theory and Methods.

Artificial Intelligence (incl. Robotics)

Data Structures.

Algorithm Analysis and Problem Complexity.

Contact mechanics.

Quantitative research.

Remote sensing- Data processing.

Mathematical Applications in Computer Science.

Dimension reduction (Statistics)

Mathematics.

Mathematical Methods in Physics.

Microsystems and MEMS.

Structural Materials.

Computational Science and Engineering.

Computational Intelligence.

Continuum Mechanics and Mechanics of Materials.

Machine learning- Mathematics.

Category Theory, Homological Algebra.

Big Data.

Machine Learning.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Hyperspectral imaging.

Multivariate analysis.

Computer Science.

Engineering.

Data reduction- Computer programs.

Machine learning- Statistical methods.

Multibody Systems and Mechanical Vibrations.

Statistics- Graphic methods.

Robust control.

Image processing- Digital techniques.

Multivariate Analysis.

Statistical Learning.