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 d3:
- 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.
- 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.
- Manual Data Science:
- Meaning extract knowledge and insights from large and complex data sets.”[patil] Data science work often requires knowledge of both statistics and software engineering. See also data engineer, machine dimension reduction.
- Manual Data Wrangling:
- Meaning The conversion of data, often through the use of scripting languages, to make it easier to work with. If you have 900,000 birthYear values of the format yyyy-mm-dd and 100,000 of the format dimension reduction.