goem requires Go version 1.4.2 or greater
This package is an implementation of golang to use EM algorithm
EM-algorithm(expectation maximization) is a method for finding maximum likelihood estimates of hidden statistical parameters.
go run main.go -m=1.0 -d=pic/ < space_separated.txtTwo-dimentional example data of space_separated.txt is below.
0.471726116612005 0.266595928855752
0.308522155121713 0.0859873278429996
0.444219121551699 0.92693805785837
0.232566914860858 0.314525852686857
0.559125332185874 0.867327637203401
0.399080742257205 0.817437666085725
0.536394027063934 0.474805220342716Important options are below.
- verbose(v bool): if it is true, graphs might be output in pic/ and show the result implicit.
- meanshift(m float64): you have to try to search the suitable parameters to avoid getting localized solution.
- directory(d string): where to save plotted images of EM-algorithm iteration.
Use the following command if you want to know more details of flags.
go run main.go --helpUse ImageMagick.
convert -delay 50 *.png animation.gifPlease git clone. If you want to use it as a package, use go get.
go get github.com/6br/goemPlease see LICENSE.
Using library packages below.
- github.com/gonum/matrix
- github.com/gonum/plot
(Copyright (c)2013 The gonum Authors. All rights reserved.)