💡 Words with a Similar Meaning to "Dimensionality reduction"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| data reduction | the transformation of numerical or alphabetical digital information derived empirically or experimentally into a corrected, ordered, and simplified form. |
| spectral clustering | In multivariate statistics, spectral clustering techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. |
| isomapnoun | (The use of) a nonlinear dimensionality-reduction method for generating a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points, allowing for visualization etc. |
| dimensional analysisnoun | (mathematics, physics) The study of the dimensions of physical quantities; used to obtain information about large complex systems, and as a means of checking mathematical and physics equations. |
| random projection | In mathematics and statistics, random projection is a technique used to reduce the dimensionality of a set of points which lie in Euclidean space. |
| nondimensionalizationnoun | (physics, engineering) The partial or full removal of units from an equation involving physical quantities by a suitable substitution of variables, in order, for example, to simplify and parameterize problems where measured units are involved. |
| diffusion map | Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by Coifman and Lafon which computes a family of embeddings of a data set into Euclidean space (often low-dimensional) whose coordinates can be computed from the eigenvectors and eigenvalues of a diffusion operator on the data. |
| low-rank approximation | In mathematics, low-rank approximation refers to the process of approximating a given matrix by a matrix of lower rank. |
| transformationnoun | The act of transforming or the state of being transformed. |
| integral transformnoun | (mathematics) Any transform of the form: |
| matrix decompositionnoun | (mathematics) A process by which a matrix (a rectangular table of numbers or abstract quantities that can be added and multiplied) is broken down into simpler numerical building blocks. |
| data analysisnoun | (data management) The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. |
| functional decomposition | In engineering, functional decomposition is the process of resolving a functional relationship into its constituent parts in such a way that the original function can be reconstructed (i.e., recomposed) from those parts. |
| self-organizing mapnoun | (machine learning) A kind of artificial neural network trained using competitive learning rather than error correction, and producing a low-dimensional (typically two-dimensional) representation of a higher-dimensional data set while preserving the topological structure of the data. |
| data wranglingnoun | (data management, slang) The process of transforming and mapping data from one raw data form into another format with the intent of making it more appropriate for a variety of downstream purposes such as visualization and analytics. |
| manifold hypothesis | The manifold hypothesis posits that many high-dimensional data sets that occur in the real world actually lie along low-dimensional latent manifolds inside that high-dimensional space. |
| data exchange | the process of taking data structured under a source schema and transforming it into a target schema, so that the target data is an accurate representation of the source data. |
| relative interior | In mathematics, the relative interior of a set is a refinement of the concept of the interior, which is often more useful when dealing with low-dimensional sets placed in higher-dimensional spaces. |
| knowledge graph embedding | In representation learning, knowledge graph embedding, also referred to as knowledge representation learning, or multi-relation learning, is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning. |
| smoothingnoun | The act by which something is made smooth. |
Translate “Dimensionality reduction” into Another Language
Pick a language — the word will be pre-filled in the translator.