Explain DIMENSION REDUCTION: Also, dimensionality reduction. “We can use a technique called principal component analysis to extract one or more dimensions that capture as much of the variation in the data as possible... Dimensionality reduction is mostly useful when your data set has a large number of dimensions and you want to find a small subset that captures most of the variation.”[grus] Linear algebra can be involved; “broadly speaking, linear algebra is about translating something residing in an m-dimensional space into a corresponding shape in an n-dimensional space.”[shin] See also linear algebra.
Different definitions in web development like dimension reduction in Dictionary D.
- Manual Data Mining:
- Meaning of computers to analyze large data sets to look for patterns that let people make business decisions. While this sounds like much of what data science is about, popular use of the term is much older dimension reduction definition.
- Manual d3:
- Meaning Documents.” A JavaScript library that eases the creation of interactive visualizations embedded in web pages. D3 is popular with data scientists as a way to present the results of their analysis. See dimension reduction explain.
- Manual Discrete Variable:
- Meaning potential values must be one of a specific number of values. If someone rates a movie with between one and five stars, with no partial stars allowed, the rating is a discrete variable. In a graph dimension reduction what is.
- Manual Data Structure:
- Meaning A particular arrangement of units of data such as an array or a tree. People studying computer science learn about different data structures and their suitability for various tasks. See also algorithm dimension reduction meaning.
- Manual Deep Learning:
- Meaning level algorithm that gradually identifies things at higher levels of abstraction. For example, the first level may identify certain lines, then the next level identifies combinations of lines as dimension reduction abbreviation.
