articleJournal of Machine Learning ResearchMay 1, 2007Closed access

Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

SSugiyamaMasashi

Abstract

Reducing the dimensionality of data without losing intrinsic information is an important preprocessing step in high-dimensional data analysis. Fisher discriminant analysis (FDA) is a traditional te...

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Topics & keywords

Topics
Keywords
  • Dimensionality reduction
  • Linear discriminant analysis
  • Artificial intelligence
  • Pattern recognition (psychology)
  • Reduction (mathematics)
  • Computer science
  • Kernel Fisher discriminant analysis
  • Curse of dimensionality
UN Sustainable Development Goals
  • Reduced inequalities
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