使用加权K最近邻算法找到x和y坐标

Question

我正在使用WiFi进行室内定位项目，我想使用WKNN作为算法。我从GitHub找到了类似的项目。这是Algorithms类的一部分：

/**
 * Calculates the Weighted Average of the K locations that have the shortest
 * distances D
 * 
 * @param LocDistance_Results_List
 *            Locations-Distances pairs sorted by distance
 * @param K
 *            The number of locations used
 * @return The estimated user location, or null for error
 */
private static String calculateWeightedAverageKDistanceLocations(ArrayList<LocDistance> LocDistance_Results_List, int K) {
    double LocationWeight = 0.0f;
    double sumWeights = 0.0f;
    double WeightedSumX = 0.0f;
    double WeightedSumY = 0.0f;

    String[] LocationArray = new String[2];
    float x, y;

    int K_Min = K < LocDistance_Results_List.size() ? K : LocDistance_Results_List.size();

    // Calculate the weighted sum of X and Y
    for (int i = 0; i < K_Min; ++i) {
        if (LocDistance_Results_List.get(i).getDistance() != 0.0) {
            LocationWeight = 1 / LocDistance_Results_List.get(i).getDistance();
        } else {
            LocationWeight = 100;
        }
        LocationArray = LocDistance_Results_List.get(i).getLocation().split(" ");

        try {
            x = Float.valueOf(LocationArray[0].trim()).floatValue();
            y = Float.valueOf(LocationArray[1].trim()).floatValue();
        } catch (Exception e) {
            return null;
        }

        sumWeights += LocationWeight;
        WeightedSumX += LocationWeight * x;
        WeightedSumY += LocationWeight * y;

    }

    WeightedSumX /= sumWeights;
    WeightedSumY /= sumWeights;

    return WeightedSumX + " " + WeightedSumY;
}

我的问题是，我们实际上可以从算法中找到x和y坐标吗？还是我必须做另一种方法，例如三边测量才能找到坐标？还是我可以使用任何好的文章或示例？