Sanjoy Dasgupta
EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-99-1047
May 1999
http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/CSD-99-1047.pdf
We give the first provably correct algorithm for learning a mixture of Gaussians from data. The running time is only linear in the dimension of the data and polynomial in the number of Gaussians.
BibTeX citation:
@techreport{Dasgupta:CSD-99-1047, Author = {Dasgupta, Sanjoy}, Title = {Learning Mixtures of Gaussians}, Institution = {EECS Department, University of California, Berkeley}, Year = {1999}, Month = {May}, URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/5673.html}, Number = {UCB/CSD-99-1047}, Abstract = {We give the first provably correct algorithm for learning a mixture of Gaussians from data. The running time is only linear in the dimension of the data and polynomial in the number of Gaussians.} }
EndNote citation:
%0 Report %A Dasgupta, Sanjoy %T Learning Mixtures of Gaussians %I EECS Department, University of California, Berkeley %D 1999 %@ UCB/CSD-99-1047 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/5673.html %F Dasgupta:CSD-99-1047