Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali +2 more
5/7/2019
cs.LGcs.AIcs.CV

Official code: bghojogh/Feature-Extraction-Survey (7 stars, last commit 2020-10-16). 1 more implementation below.

Abstract

Pattern analysis often requires a pre-processing stage for extracting or selecting features in order to help the classification, prediction, or clustering stage discriminate or represent the data in a better way. The reason for this requirement is that the raw data are complex and difficult to process without extracting or selecting appropriate features beforehand. This paper reviews theory and motivation of different common methods of feature selection and extraction and introduces some of their applications. Some numerical implementations are also shown for these methods. Finally, the methods in feature selection and extraction are compared.

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Code Implementations(2)

The code for the survey paper of feature extraction

70R, HTMLJun 11, 20206 years ago
feature-engineeringfeature-extractionfeature-selection

Feature selection and feature extraction code implementation from the paper Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. Link -> https://arxiv.org/abs/1905.02845

41PythonJun 7, 20205 years ago

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Cite this paper

@article{ghojogh2019feature,
  title  = {Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review},
  author = {Benyamin Ghojogh and Maria N. Samad and Sayema Asif Mashhadi and Tania Kapoor and Wahab Ali and Fakhri Karray and Mark Crowley},
  year   = {2019},
  eprint = {1905.02845},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1905.02845}
}

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