Examples of org.ejml.data.D1Matrix64F

org.ejml.data.D1Matrix64F
A generic abstract class for matrices whose data is stored in a single 1D array of doubles. The format of the elements in this array is not specified. For example row major, column major, and block row major are all common formats. @author Peter Abeles

         * We use the Gaussian distribution of the parent GMM to create the
         * children.
         */


        /* Get mean and variance from parent before we allocate resized data structures. */
        D1Matrix64F mean = MatrixOps.doubleArrayToMatrix(this.components[0]
                .getMean());
        D1Matrix64F variance = MatrixOps.doubleArrayToMatrix(this.components[0]
                .getVariance());


        /* Throw away all previous data structures. */
        allocateTrainDataStructures(newNumComponents);

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            /*
             * Estimate the variance. sigma_sq = 1/n (sumxsq - 1/n sumx^2) or
             * 1/n sumxsq - mean^2.
             */
            D1Matrix64F tmp = variance; // borrow as an intermediate array.


            MatrixOps.elementSquare(mean, tmpArray);
            CommonOps.scale(1.0 / numSamples, sumxsq, tmp);


            CommonOps.sub(tmp, tmpArray, variance);

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Related Classes of org.ejml.data.D1Matrix64F

org.apache.s4.model.GaussianMixtureModel

org.apache.s4.model.GaussianModel

org.ejml.alg.dense.mult.MatrixDimensionException

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