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Classifier Dependent Dimensionality Reduction for Resource Restricted Environments

  • Divyanshu Kalra
  • Chaitanya Dwivedi
  • Swati AggarwalEmail author
Conference paper
  • 1.1k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 799)

Abstract

High dimensionality problems have become prevalent in present day machine learning applications. The voluminous datasets acquired from sources like cameras, spectroscopes, and other sensors need to be analysed and modelled in a way that uses the available computational resources most efficiently. The paper proposes a genetic algorithm optimised neural network model that takes care of the issue mentioned above. A comparison is also drawn between the results produced by the proposed model and those produced by other contemporary dimensionality reduction algorithms.

Keywords

Genetic algorithm Neural networks t-SNE Dimensionality reduction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Divyanshu Kalra
    • 1
  • Chaitanya Dwivedi
    • 1
  • Swati Aggarwal
    • 1
    Email author
  1. 1.Netaji Subhas Institue of TechnologyDwarkaIndia

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