I Understand
We use cookies.Click here for details.

Dimension Reduction

Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension. Working in high-dimensional spaces can be undesirable for many reasons; raw data are often sparse as a consequence of the curse of dimensionality, and analyzing the data is usually computationally intractable.

See full entry on Wikipedia

In the conversation

These are the most often used hashtags on social media when discussing Dimension Reduction. The top three related keywords are 66daysofdata, github, and inequalities.

hashtag wordcloud

Data Scientist

Dimension Reduction is most commonly found in Data Scientist job descriptions. To learn more about the role, click the button below.

Explore the role