Browse Definitions :
Definition

dimensionality reduction

Dimensionality reduction is a machine learning (ML) or statistical technique of reducing the amount of random variables in a problem by obtaining a set of principal variables. This process can be carried out using a number of methods that simplify the modeling of complex problems, eliminate redundancy and reduce the possibility of the model overfitting and thereby including results that do not belong.

The process of dimensionality reduction is divided into two components, feature selection and feature extraction. In feature selection, smaller subsets of features are chosen from a set of many dimensional data to represent the model by filtering, wrapping or embedding. Feature extraction reduces the number of dimensions in a dataset in order to model variables and perform component analysis.

Methods of dimensionality reduction include:

  • Factor Analysis
  • Low Variance Filter
  • High Correlation Filter
  • Backward Feature Elimination
  • Forward Feature Selection
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis
  • Methods Based on Projections
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)
  • UMAP
  • Independent Component Analysis
  • Missing Value Ratio
  • Random Forest

Dimensionality reduction is advantageous to AI developers or data professionals working with massive datasets, performing data visualization and analyzing complex data. It aids in the process of data compression, allowing the data to take up less storage space as well as reduces computation times.

This was last updated in November 2018

Continue Reading About dimensionality reduction

SearchNetworking
SearchSecurity
  • man in the browser (MitB)

    Man in the browser (MitB) is a security attack where the perpetrator installs a Trojan horse on the victim's computer that is ...

  • Patch Tuesday

    Patch Tuesday is the unofficial name of Microsoft's monthly scheduled release of security fixes for the Windows operating system ...

  • parameter tampering

    Parameter tampering is a type of web-based cyber attack in which certain parameters in a URL are changed without a user's ...

SearchCIO
  • chief procurement officer (CPO)

    The chief procurement officer, or CPO, leads an organization's procurement department and oversees the acquisitions of goods and ...

  • Lean Six Sigma

    Lean Six Sigma is a data-driven approach to improving efficiency, customer satisfaction and profits.

  • change management

    Change management is a systematic approach to dealing with the transition or transformation of an organization's goals, processes...

SearchHRSoftware
SearchCustomerExperience
  • clickstream data (clickstream analytics)

    Clickstream data and clickstream analytics are the processes involved in collecting, analyzing and reporting aggregate data about...

  • neuromarketing

    Neuromarketing is the study of how people's brains respond to advertising and other brand-related messages by scientifically ...

  • contextual marketing

    Contextual marketing is an online marketing strategy model in which people are served with targeted advertising based on their ...

Close