code: public static ExpectationMaximizationGmm_F64 gaussianMixtureModelEM_F64(
  			int maxIterations, int maxConverge , double convergeTol) {
  
  		StandardKMeans_F64 kmeans = kMeans_F64(null,maxIterations,maxConverge,convergeTol);
  		SeedFromKMeans_F64 seeds = new SeedFromKMeans_F64(kmeans);
  
  		return new ExpectationMaximizationGmm_F64(maxIterations,convergeTol,seeds);
  	}
docs: <p>
  High level interface for creating GMM cluster.  If more flexibility is needed (e.g. custom seeds)
  then create and instance of {@link ExpectationMaximizationGmm_F64} directly
  </p>
  
  <p>WARNING: DEVELOPMENTAL AND IS LIKELY TO FAIL HORRIBLY</p>
  
  @param maxIterations Maximum number of iterations it will perform.
  @param maxConverge Maximum iterations allowed before convergence.  Re-seeded if it doesn't converge.
  @param convergeTol Distance based convergence tolerance.  Try 1e-8
  @return ExpectationMaximizationGmm_F64