public void LaplacianReverseDistanceTest() { var laplacian = new Laplacian(4.2); var x = new double[] { 0.2, 0.5 }; var y = new double[] { 0.3, -0.7 }; double expected = Distance.Euclidean(x, y); double df = laplacian.Distance(x, y); double actual = laplacian.ReverseDistance(df); Assert.AreEqual(expected, actual, 1e-10); }
public void DistanceTest() { Laplacian dense = new Laplacian(3.6); SparseLaplacian target = new SparseLaplacian(3.6); double[] sx = { 1, -0.555556, 2, +0.250000, 3, -0.864407, 4, -0.916667 }; double[] sy = { 1, -0.666667, 2, -0.166667, 3, -0.864407, 4, -0.916667 }; double[] sz = { 1, -0.944444, 3, -0.898305, 4, -0.916667 }; double[] dx = { -0.555556, +0.250000, -0.864407, -0.916667 }; double[] dy = { -0.666667, -0.166667, -0.864407, -0.916667 }; double[] dz = { -0.944444, +0.000000, -0.898305, -0.916667 }; double expected, actual; expected = dense.Distance(dx, dy); actual = target.Distance(sx, sy); Assert.AreEqual(expected, actual, 1e-10); Assert.IsFalse(double.IsNaN(actual)); expected = dense.Distance(dx, dz); actual = target.Distance(sx, sz); Assert.AreEqual(expected, actual, 1e-10); Assert.IsFalse(double.IsNaN(actual)); expected = dense.Distance(dy, dz); actual = target.Distance(sy, sz); Assert.AreEqual(expected, actual, 1e-10); Assert.IsFalse(double.IsNaN(actual)); }