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Dynamic Time Warping
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package processing.segmentation; | |
import java.util.ArrayList; | |
/** | |
* Compute the Dynamic Time Warping Distance | |
* | |
* @author Daniel Kohlsdorf | |
*/ | |
public class DynamicTimeWarping { | |
/** | |
* Save DTW matrix | |
*/ | |
private double dtw[][]; | |
/** | |
* Compute the Euclidean distance between two vectors | |
*/ | |
public static double euc(double[] x, double[] y) { | |
double dist = 0.0; | |
for (int i = 0; i < x.length; i++) { | |
dist += Math.pow(x[i] - y[i], 2); | |
} | |
return Math.sqrt(dist); | |
} | |
/** | |
* Compute the min of three values | |
*/ | |
private double min(double x, double y, double z) { | |
double min = x; | |
if (y < min) { | |
min = y; | |
} | |
if (z < min) { | |
min = z; | |
} | |
return min; | |
} | |
/** | |
* The actual dynamic time warping algorithm | |
*/ | |
public double dist(ArrayList<double[]> x, ArrayList<double[]> y) { | |
int n = x.size(); | |
int m = y.size(); | |
dtw = new double[n + 1][m + 1]; | |
/** | |
* INIT | |
*/ | |
for (int i = 1; i < n + 1; i++) { | |
dtw[i][0] = Double.POSITIVE_INFINITY; | |
} | |
for (int j = 1; j < m + 1; j++) { | |
dtw[0][j] = Double.POSITIVE_INFINITY; | |
} | |
dtw[0][0] = 0.0; | |
/** | |
* Recursion | |
*/ | |
for (int i = 1; i < n + 1; i++) { | |
for (int j = 1; j < m + 1; j++) { | |
dtw[i][j] = euc(x.get(i - 1), y.get(j - 1)) + min( | |
dtw[i][j - 1], | |
dtw[i - 1][j], | |
dtw[i - 1][j - 1]); | |
} | |
} | |
return dtw[n][m]; | |
} | |
} |
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