Accord.Tests.Statistics.KernelPrincipalComponentAnalysisTest.TransformTest C# (CSharp) Method

        public void TransformTest()
        {
            // Using a linear kernel should be equivalent to standard PCA
            IKernel kernel = new Linear();

            // Create analysis
            var target = new KernelPrincipalComponentAnalysis(data, kernel, AnalysisMethod.Center);

            // Compute
            target.Compute();

            double[,] actual = target.Transform(data, 2);

            // first inversed.. ?
            double[,] expected = new double[,]
            {
                { -0.827970186,  0.175115307 },
                {  1.77758033,  -0.142857227 },
                { -0.992197494, -0.384374989 },
                { -0.274210416, -0.130417207 },
                { -1.67580142,   0.209498461 },
                { -0.912949103, -0.175282444 },
                {  0.099109437,  0.349824698 },
                {  1.14457216,  -0.046417258 },
                {  0.438046137, -0.017764629 },
                {  1.22382056,   0.162675287 },
            };

            // Verify both are equal with 0.001 tolerance value
            Assert.IsTrue(Matrix.IsEqual(actual, expected, 0.0001));

            // Assert the result equals the transformation of the input
            double[,] result = target.Result;
            double[,] projection = target.Transform(data);
            Assert.IsTrue(Matrix.IsEqual(result, projection, 0.000001));

            Assert.AreEqual(2, target.Eigenvalues.Length);
            Assert.AreEqual(10, target.ComponentMatrix.GetLength(0));
            Assert.AreEqual(2, target.ComponentMatrix.GetLength(1));
        }