Browse Definitions :
Definition

dimensionality reduction

Contributor(s): Matthew Haughn

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

Start the conversation

Send me notifications when other members comment.

Please create a username to comment.

SearchCompliance

  • risk assessment

    Risk assessment is the identification of hazards that could negatively impact an organization's ability to conduct business.

  • PCI DSS (Payment Card Industry Data Security Standard)

    The Payment Card Industry Data Security Standard (PCI DSS) is a widely accepted set of policies and procedures intended to ...

  • risk management

    Risk management is the process of identifying, assessing and controlling threats to an organization's capital and earnings.

SearchSecurity

SearchHealthIT

SearchDisasterRecovery

  • call tree

    A call tree is a layered hierarchical communication model that is used to notify specific individuals of an event and coordinate ...

  • Disaster Recovery as a Service (DRaaS)

    Disaster recovery as a service (DRaaS) is the replication and hosting of physical or virtual servers by a third party to provide ...

  • cloud disaster recovery (cloud DR)

    Cloud disaster recovery (cloud DR) is a combination of strategies and services intended to back up data, applications and other ...

SearchStorage

  • RAM (Random Access Memory)

    RAM (Random Access Memory) is the hardware in a computing device where the operating system (OS), application programs and data ...

  • business impact analysis (BIA)

    Business impact analysis (BIA) is a systematic process to determine and evaluate the potential effects of an interruption to ...

  • M.2 SSD

    An M.2 SSD is a solid-state drive that is used in internally mounted storage expansion cards of a small form factor.

Close