Part of the book series: Synthesis Lectures on Digital Circuits & Systems ((SLDCS))

  • 131 Accesses

Abstract

This chapter defines two-class functions and classification functions. A two-class function classifies input vectors into two classes, while a classification function classifies input vectors into m classes, where \(m>2\).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Muroga S (1979) Logic design and switching theory. Wiley-Interscience Publication

    Google Scholar 

  2. Ibaraki T (2011) Partially defined Boolean functions, Chapter 8. In: Crama Y, Hammer PL (eds) Boolean functions - theory, algorithms and applications. Cambridge University Press, New York

    Google Scholar 

  3. Sasao T (2011) Memory-based logic synthesis. Springer

    Google Scholar 

  4. Sasao T (2019) Index generation functions. Morgan & Claypool

    Google Scholar 

  5. Sasao T (2021) On a design of multi-layer LUT network. IWLS, Online, July 19–21

    Google Scholar 

  6. Sasao T (2023) Data mining using multi-valued logic minimization. ISMVL, May 22-24

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tsutomu Sasao .

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Sasao, T. (2024). Definitions and Basic Properties. In: Classification Functions for Machine Learning and Data Mining. Synthesis Lectures on Digital Circuits & Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-35347-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35347-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35346-8

  • Online ISBN: 978-3-031-35347-5

  • eBook Packages: Synthesis Collection of Technology (R0)

Publish with us

Policies and ethics

Navigation