minor doc fix

modules/ml/doc/expectation_maximization.rst

@@ -107,7 +107,7 @@ The constructor of the class
     
     :param covMatType: Constraint on covariance matrices which defines type of matrices. Possible values are:
 
-        * **EM::COV_MAT_SPHERICAL** A scaled identity matrix :math:`\mu_k * I`. There is the only parameter :math:`\mu_k` to be estimated for earch matrix. The option may be used in special cases, when the constraint is relevant, or as a first step in the optimization (for example in case when the data is preprocessed with PCA). The results of such preliminary estimation may be passed again to the optimization procedure, this time with ``covMatType=EM::COV_MAT_DIAGONAL``.
+        * **EM::COV_MAT_SPHERICAL** A scaled identity matrix :math:`\mu_k * I`. There is the only parameter :math:`\mu_k` to be estimated for each matrix. The option may be used in special cases, when the constraint is relevant, or as a first step in the optimization (for example in case when the data is preprocessed with PCA). The results of such preliminary estimation may be passed again to the optimization procedure, this time with ``covMatType=EM::COV_MAT_DIAGONAL``.
 
         * **EM::COV_MAT_DIAGONAL** A diagonal matrix with positive diagonal elements. The number of free parameters is ``d`` for each matrix. This is most commonly used option yielding good estimation results.