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Evelyn Fix

Computing Methodologies

Evelyn Fix was an American statistician, born in Duluth, Minnesota, on January 27, 1904, who died on December 30, 1965. She earned an A.B. in mathematics at the University of Minnesota in 1924, then an M.S. in education and a period as a high school teacher, followed by an M.A. in mathematics in 1933 and a Ph.D. at the University of California, Berkeley, in 1948. She joined the Berkeley statistics faculty, became an assistant professor in 1951 and a full professor of statistics in 1963. In 1951 she and Joseph Hodges, Jr. published the paper on discriminatory analysis and nonparametric discrimination that defined the nearest neighbor rule, an important method that became a key piece of machine learning technology as the k-Nearest Neighbor (k-NN) algorithm. She was a Fellow of the Institute of Mathematical Statistics.

Facts
Birth Year
1904 1
Death Year
1965 1
Evelyn Fix
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Credited

Source Wikipedia: K-nearest neighbors algorithm

In Field

Source Evelyn Fix (Wikipedia)

Invented

Source Wikipedia: K-nearest neighbors algorithm
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Source Evelyn Fix (Wikipedia)Infobox, birth place
Quote, Infobox, birth place
Duluth, Minnesota, United States
Sources
1. Evelyn Fix (Wikipedia)
  • Lead, birth date
    Evelyn Fix (January 27, 1904
  • Lead, death date
    December 30, 1965)
  • Infobox, birth place
    Duluth, Minnesota, United States
  • In Group: Machine Learning, Lead
    the k-Nearest Neighbor (k-NN) algorithm
  • In Field: Machine Learning, Lead
    the k-Nearest Neighbor (k-NN) algorithm
View the Source
Wikipedia: K-nearest neighbors algorithm
  • Credited: K-Nearest Neighbors Algorithm, Lead section
    first developed by Evelyn Fix and Joseph Hodges in 1951
  • Invented: K-Nearest Neighbors Algorithm, Lead section
    first developed by Evelyn Fix and Joseph Hodges in 1951
View the Source
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