Algorithm::ExpectationMaximization is a perl5 module for the Expectation-Maximization (EM) based clustering of numerical data in multidimensional spaces. Since the module is entirely in Perl (in the sense that it is not a Perl wrapper around a C library that actually does the clustering), the code in the module can easily be modified to experiment with several aspects of the EM algorithm. This module is not meant for very large datafiles. Being an all-Perl implementation, the goal here is not the speed of execution. On the contrary, the goal is to make it easy to experiment with the different facets of the EM algorithm with regard to its ability to identify the individual Gaussians in data that can be modeled as a Gaussian mixture. This module requires the following three modules: Math::Random Graphics::GnuplotIF Math::GSL::Matrix the first for generating the multivariate random numbers, the second for the visualization of the clusters, and the third for access to the Perl wrappers for the matrix handling portion of the GNU Scientific Library for the algebraic manipulation of the matrices that are needed for the covariances of the Gaussians. For installation, do the usual perl Makefile.PL make make test make install if you have root access. If not, perl Makefile.PL prefix=/some/other/directory/ make make test make install Contact: Avinash Kak email: kak@purdue.edu Please place the string "Algorithm EM" in the subject line if you wish to write to the author. Any feedback regarding this module would be highly appreciated.