public void TestKMeans()
{
var kMeans = new KMeans();
var kMeansParameter = new KMeansParameter(1);
var normalize = new Normalize(iris);
normalize.Convert();
kMeans.Train(iris.GetInstanceList(), kMeansParameter);
Assert.AreEqual(14.66, 100 * kMeans.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
normalize = new Normalize(bupa);
normalize.Convert();
kMeans.Train(bupa.GetInstanceList(), kMeansParameter);
Assert.AreEqual(41.44, 100 * kMeans.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
normalize = new Normalize(dermatology);
normalize.Convert();
kMeans.Train(dermatology.GetInstanceList(), kMeansParameter);
Assert.AreEqual(3.55, 100 * kMeans.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
}
public void TestTrain()
{
var kMeans = new KMeans();
var kMeansParameter = new KMeansParameter(1);
kMeans.Train(iris.GetInstanceList(), kMeansParameter);
Assert.AreEqual(7.33, 100 * kMeans.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(bupa.GetInstanceList(), kMeansParameter);
Assert.AreEqual(43.77, 100 * kMeans.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(dermatology.GetInstanceList(), kMeansParameter);
Assert.AreEqual(45.08, 100 * kMeans.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(car.GetInstanceList(), kMeansParameter);
Assert.AreEqual(47.97, 100 * kMeans.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(tictactoe.GetInstanceList(), kMeansParameter);
Assert.AreEqual(38.94, 100 * kMeans.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(nursery.GetInstanceList(), kMeansParameter);
Assert.AreEqual(53.60, 100 * kMeans.Test(nursery.GetInstanceList()).GetErrorRate(), 0.01);
kMeans.Train(chess.GetInstanceList(), kMeansParameter);
Assert.AreEqual(83.25, 100 * kMeans.Test(chess.GetInstanceList()).GetErrorRate(), 0.01);
}
