Ejemplo n.º 1
0
        /**
         * @param Clustering
         *            The array of clusters
         * @param posi
         *            The index of the merged cluster
         * @param posj
         *            The index of the cluster that will be eliminated from the
         *            clustering
         * @param distance
         *            The distance matrix that will be updated
         */
        void UpdateDistances(List <SpeakerCluster> clustering, int posi, int posj, Array2DRowRealMatrix distance)
        {
            int clusterCount = clustering.Count;

            for (int i = 0; i < clusterCount; i++)
            {
                distance.setEntry(i, posi, ComputeDistance(clustering[i], clustering[posi]));
                distance.setEntry(posi, i, distance.getEntry(i, posi));
            }
            for (int i = posj; i < clusterCount - 1; i++)
            {
                for (int j = 0; j < clusterCount; j++)
                {
                    distance.setEntry(i, j, distance.getEntry(i + 1, j));
                }
            }

            for (int i = 0; i < clusterCount; i++)
            {
                for (int j = posj; j < clusterCount - 1; j++)
                {
                    distance.setEntry(i, j, distance.getEntry(i, j + 1));
                }
            }
        }
        internal virtual Array2DRowRealMatrix updateDistances(ArrayList arrayList)
        {
            int num = arrayList.size();
            Array2DRowRealMatrix array2DRowRealMatrix = new Array2DRowRealMatrix(num, num);

            for (int i = 0; i < num; i++)
            {
                for (int j = 0; j <= i; j++)
                {
                    array2DRowRealMatrix.setEntry(i, j, this.computeDistance((SpeakerCluster)arrayList.get(i), (SpeakerCluster)arrayList.get(j)));
                    array2DRowRealMatrix.setEntry(j, i, array2DRowRealMatrix.getEntry(i, j));
                }
            }
            return(array2DRowRealMatrix);
        }
Ejemplo n.º 3
0
        /**
         * @param Clustering
         *            The array of clusters
         */
        Array2DRowRealMatrix UpdateDistances(List <SpeakerCluster> clustering)
        {
            int clusterCount = clustering.Count;
            Array2DRowRealMatrix distance = new Array2DRowRealMatrix(clusterCount, clusterCount);

            for (int i = 0; i < clusterCount; i++)
            {
                for (int j = 0; j <= i; j++)
                {
                    distance.setEntry(i, j, ComputeDistance(clustering[i], clustering[j]));
                    distance.setEntry(j, i, distance.getEntry(i, j));
                }
            }
            return(distance);
        }
        internal virtual void updateDistances(ArrayList arrayList, int num, int num2, Array2DRowRealMatrix array2DRowRealMatrix)
        {
            int num3 = arrayList.size();

            for (int i = 0; i < num3; i++)
            {
                array2DRowRealMatrix.setEntry(i, num, this.computeDistance((SpeakerCluster)arrayList.get(i), (SpeakerCluster)arrayList.get(num)));
                array2DRowRealMatrix.setEntry(num, i, array2DRowRealMatrix.getEntry(i, num));
            }
            for (int i = num2; i < num3 - 1; i++)
            {
                for (int j = 0; j < num3; j++)
                {
                    array2DRowRealMatrix.setEntry(i, j, array2DRowRealMatrix.getEntry(i + 1, j));
                }
            }
            for (int i = 0; i < num3; i++)
            {
                for (int j = num2; j < num3 - 1; j++)
                {
                    array2DRowRealMatrix.setEntry(i, j, array2DRowRealMatrix.getEntry(i, j + 1));
                }
            }
        }