Finding the x and y coordinates with Weighted K-Nearest Neighborhood algorithm
0
I'm working on Indoor Positioning project using WiFi, I want to use WKNN as the algorithm. I have found similar project from GitHub.This is the part of Algorithm class:
/**
* 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;
}
My question is, can we actually find the x and y coordinates from the algorithm or did i have to do another way such as trilateration to find the coordinates? Or is there any good article or example that i can use?
android algorithm knn indoor-positioning-system edited Jan 20 at 15:23
Fantômas
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
add a comment |
0
I'm working on Indoor Positioning project using WiFi, I want to use WKNN as the algorithm. I have found similar project from GitHub.This is the part of Algorithm class:
/**
* 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;
}
My question is, can we actually find the x and y coordinates from the algorithm or did i have to do another way such as trilateration to find the coordinates? Or is there any good article or example that i can use?
android algorithm knn indoor-positioning-system edited Jan 20 at 15:23
Fantômas
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
add a comment |
0
0
0
I'm working on Indoor Positioning project using WiFi, I want to use WKNN as the algorithm. I have found similar project from GitHub.This is the part of Algorithm class:
/**
* 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;
}
My question is, can we actually find the x and y coordinates from the algorithm or did i have to do another way such as trilateration to find the coordinates? Or is there any good article or example that i can use?
android algorithm knn indoor-positioning-system edited Jan 20 at 15:23
Fantômas
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
I'm working on Indoor Positioning project using WiFi, I want to use WKNN as the algorithm. I have found similar project from GitHub.This is the part of Algorithm class:
/**
* 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;
}
My question is, can we actually find the x and y coordinates from the algorithm or did i have to do another way such as trilateration to find the coordinates? Or is there any good article or example that i can use?
android algorithm knn indoor-positioning-system android algorithm knn indoor-positioning-system edited Jan 20 at 15:23
Fantômas
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
edited Jan 20 at 15:23
Fantômas
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
edited Jan 20 at 15:23
Fantômas
32.6k156389
edited Jan 20 at 15:23
Fantômas
32.6k156389
edited Jan 20 at 15:23
Fantômas
32.6k156389
32.6k156389
asked Jan 20 at 14:05
Enryu Enryu
64
asked Jan 20 at 14:05
Enryu Enryu
64
asked Jan 20 at 14:05
Enryu Enryu
64
64
add a comment |
add a comment |
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