Bayes error evaluation of the Gaussian ML classifier

Chul Hee Lee, Euisun Choi

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

We investigate the relationship between the classification error and the Bhattacharyya distance of two normally distributed classes and propose a new equation that provides an accurate error estimation for the Gaussian ML classifier. With the error estimation equation, it is possible to estimate the classification error within a 1-2% margin.

Original languageEnglish
Pages (from-to)1471-1475
Number of pages5
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume38
Issue number3
DOIs
Publication statusPublished - 2000 Dec 3

Fingerprint

Error analysis
Classifiers
evaluation

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

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Bayes error evaluation of the Gaussian ML classifier. / Lee, Chul Hee; Choi, Euisun.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 3, 03.12.2000, p. 1471-1475.

Research output: Contribution to journalArticle

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