Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Dimensionality Reduction

  • Heng Tao ShenEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_551


From database perspective, dimensionality reduction (DR) is to map the original high-dimensional data into a lower-dimensional representation that captures the content in the original data, according to some criterion. Formally, given a data point P = {p1, p2,…,pD} in D-dimensional space, DR is to find a d-dimensional subspace, where d < D, such that P is represented by a d-dimensional point by projecting P into the d-dimensional subspace.

Key Points

Advances in data collection and storage capabilities have led to an information overload in most sciences. Many new and emerging data types, such as multimedia, time series, and biological sequence, have been studied extensively in the past and present new challenges in data analysis and management due to their high dimensionality of data space. One known phenomenon of “dimensionality curse” leads traditional data access methods to fail. High-dimensional datasets present many mathematical challenges as well as some...

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Recommended Reading

  1. 1.
    Roweis ST, Saul LK. Nonlinear dimensionality reduction by locally linear embedding. Science. 2000;290(5500):2323–6.CrossRefGoogle Scholar
  2. 2.
    Shen HT, Zhou X, Zhou A. An adaptive and dynamic dimensionality reduction method for high-dimensional indexing. VLDB J. 2007;16(2):219–34.CrossRefGoogle Scholar
  3. 3.
    Zhu X, Huang Z, Shen HT, Cheng J, Xu C. Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recogn. 2012;45(8):3003–16.CrossRefzbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia
  2. 2.University of Electronic Science and Technology of ChinaChengduChina

Section editors and affiliations

  • Xiaofang Zhou
    • 1
  1. 1.School of Information Technology and Electrical EngineeringUniversity of QueenslandBrisbaneAustralia