public void SingleLinkTest() { var points = new Vector <double>[] { Vector <double> .Build.DenseOfArray(new double[] { 10, 10 }), // A Vector <double> .Build.DenseOfArray(new double[] { 12, 9 }), Vector <double> .Build.DenseOfArray(new double[] { 10, 8 }), Vector <double> .Build.DenseOfArray(new double[] { 8, 8 }), Vector <double> .Build.DenseOfArray(new double[] { 8, 6 }), Vector <double> .Build.DenseOfArray(new double[] { 7, 7 }), Vector <double> .Build.DenseOfArray(new double[] { 5, 6 }), // B Vector <double> .Build.DenseOfArray(new double[] { 14, 8 }), // C Vector <double> .Build.DenseOfArray(new double[] { 7, 15 }), // N - Noise, should not be present Vector <double> .Build.DenseOfArray(new double[] { 17, 8 }), // D - single-link connected to C should not be present }; var clusterer = new DBScanClusterer <double>(3, 3); var clusters = clusterer.Cluster(points); Assert.Single(clusters); var clusterFound = false; var clusterOne = new List <Vector <double> >(new[] { points[0], points[1], points[2], points[3], points[4], points[5], points[6], points[7], }); foreach (var cluster in clusters) { if (cluster.Points.All(point => clusterOne.Contains(point))) { clusterFound = true; } } Assert.True(clusterFound); }
public void GetMinPtsTest() { var clusterer = new DBScanClusterer <double>(2.0, 5); Assert.Equal(5, clusterer.MinPts); }
public void GetEpsilonTest() { var clusterer = new DBScanClusterer <double>(2.0, 5); Assert.Equal(2.0, clusterer.Epsilon, 5); }
public void ClusterTest() { var points = new Vector <double>[] { Vector <double> .Build.DenseOfArray(new double[] { 83.08303244924173, 58.83387754182331 }), Vector <double> .Build.DenseOfArray(new double[] { 45.05445510940626, 23.469642649637535 }), Vector <double> .Build.DenseOfArray(new double[] { 14.96417921432294, 69.0264096390456 }), Vector <double> .Build.DenseOfArray(new double[] { 73.53189604333602, 34.896145021310076 }), Vector <double> .Build.DenseOfArray(new double[] { 73.28498173551634, 33.96860806993209 }), Vector <double> .Build.DenseOfArray(new double[] { 73.45828098873608, 33.92584423092194 }), Vector <double> .Build.DenseOfArray(new double[] { 73.9657889183145, 35.73191006924026 }), Vector <double> .Build.DenseOfArray(new double[] { 74.0074097183533, 36.81735596177168 }), Vector <double> .Build.DenseOfArray(new double[] { 73.41247541410848, 34.27314856695011 }), Vector <double> .Build.DenseOfArray(new double[] { 73.9156256353017, 36.83206791547127 }), Vector <double> .Build.DenseOfArray(new double[] { 74.81499205809087, 37.15682749846019 }), Vector <double> .Build.DenseOfArray(new double[] { 74.03144880081527, 37.57399178552441 }), Vector <double> .Build.DenseOfArray(new double[] { 74.51870941207744, 38.674258946906775 }), Vector <double> .Build.DenseOfArray(new double[] { 74.50754595105536, 35.58903978415765 }), Vector <double> .Build.DenseOfArray(new double[] { 74.51322752749547, 36.030572259100154 }), Vector <double> .Build.DenseOfArray(new double[] { 59.27900996617973, 46.41091720294207 }), Vector <double> .Build.DenseOfArray(new double[] { 59.73744793841615, 46.20015558367595 }), Vector <double> .Build.DenseOfArray(new double[] { 58.81134076672606, 45.71150126331486 }), Vector <double> .Build.DenseOfArray(new double[] { 58.52225539437495, 47.416083617601544 }), Vector <double> .Build.DenseOfArray(new double[] { 58.218626647023484, 47.36228902172297 }), Vector <double> .Build.DenseOfArray(new double[] { 60.27139669447206, 46.606106348801404 }), Vector <double> .Build.DenseOfArray(new double[] { 60.894962462363765, 46.976924697402865 }), Vector <double> .Build.DenseOfArray(new double[] { 62.29048673878424, 47.66970563563518 }), Vector <double> .Build.DenseOfArray(new double[] { 61.03857608977705, 46.212924720020965 }), Vector <double> .Build.DenseOfArray(new double[] { 60.16916214139201, 45.18193661351688 }), Vector <double> .Build.DenseOfArray(new double[] { 59.90036905976012, 47.555364347063005 }), Vector <double> .Build.DenseOfArray(new double[] { 62.33003634144552, 47.83941489877179 }), Vector <double> .Build.DenseOfArray(new double[] { 57.86035536718555, 47.31117930193432 }), Vector <double> .Build.DenseOfArray(new double[] { 58.13715479685925, 48.985960494028404 }), Vector <double> .Build.DenseOfArray(new double[] { 56.131923963548616, 46.8508904252667 }), Vector <double> .Build.DenseOfArray(new double[] { 55.976329887053, 47.46384037658572 }), Vector <double> .Build.DenseOfArray(new double[] { 56.23245975235477, 47.940035191131756 }), Vector <double> .Build.DenseOfArray(new double[] { 58.51687048212625, 46.622885352699086 }), Vector <double> .Build.DenseOfArray(new double[] { 57.85411081905477, 45.95394361577928 }), Vector <double> .Build.DenseOfArray(new double[] { 56.445776311447844, 45.162093662656844 }), Vector <double> .Build.DenseOfArray(new double[] { 57.36691949656233, 47.50097194337286 }), Vector <double> .Build.DenseOfArray(new double[] { 58.243626387557015, 46.114052729681134 }), Vector <double> .Build.DenseOfArray(new double[] { 56.27224595635198, 44.799080066150054 }), Vector <double> .Build.DenseOfArray(new double[] { 57.606924816500396, 46.94291057763621 }), Vector <double> .Build.DenseOfArray(new double[] { 30.18714230041951, 13.877149710431695 }), Vector <double> .Build.DenseOfArray(new double[] { 30.449448810657486, 13.490778346545994 }), Vector <double> .Build.DenseOfArray(new double[] { 30.295018390286714, 13.264889000216499 }), Vector <double> .Build.DenseOfArray(new double[] { 30.160201832884923, 11.89278262341395 }), Vector <double> .Build.DenseOfArray(new double[] { 31.341509791789576, 15.282655921997502 }), Vector <double> .Build.DenseOfArray(new double[] { 31.68601630325429, 14.756873246748 }), Vector <double> .Build.DenseOfArray(new double[] { 29.325963742565364, 12.097849250072613 }), Vector <double> .Build.DenseOfArray(new double[] { 29.54820742388256, 13.613295356975868 }), Vector <double> .Build.DenseOfArray(new double[] { 28.79359608888626, 10.36352064087987 }), Vector <double> .Build.DenseOfArray(new double[] { 31.01284597092308, 12.788479208014905 }), Vector <double> .Build.DenseOfArray(new double[] { 27.58509216737002, 11.47570110601373 }), Vector <double> .Build.DenseOfArray(new double[] { 28.593799561727792, 10.780998203903437 }), Vector <double> .Build.DenseOfArray(new double[] { 31.356105766724795, 15.080316198524088 }), Vector <double> .Build.DenseOfArray(new double[] { 31.25948503636755, 13.674329151166603 }), Vector <double> .Build.DenseOfArray(new double[] { 32.31590076372959, 14.95261758659035 }), Vector <double> .Build.DenseOfArray(new double[] { 30.460413702763617, 15.88402809202671 }), Vector <double> .Build.DenseOfArray(new double[] { 32.56178203062154, 14.586076852632686 }), Vector <double> .Build.DenseOfArray(new double[] { 32.76138648530468, 16.239837325178087 }), Vector <double> .Build.DenseOfArray(new double[] { 30.1829453331884, 14.709592407103628 }), Vector <double> .Build.DenseOfArray(new double[] { 29.55088173528202, 15.0651247180067 }), Vector <double> .Build.DenseOfArray(new double[] { 29.004155302187428, 14.089665298582986 }), Vector <double> .Build.DenseOfArray(new double[] { 29.339624439831823, 13.29096065578051 }), Vector <double> .Build.DenseOfArray(new double[] { 30.997460327576846, 14.551914158277214 }), Vector <double> .Build.DenseOfArray(new double[] { 30.66784126125276, 16.269703107886016 }), }; var transformer = new DBScanClusterer <double>(2.0, 5); var clusters = transformer.Cluster(points); Assert.Equal(3, clusters.Count()); var clusterOne = new List <Vector <double> >(new[] { points[3], points[4], points[5], points[6], points[7], points[8], points[9], points[10], points[11], points[12], points[13], points[14], }); var clusterTwo = new List <Vector <double> >(new[] { points[15], points[16], points[17], points[18], points[19], points[20], points[21], points[22], points[23], points[24], points[25], points[26], points[27], points[28], points[29], points[30], points[31], points[32], points[33], points[34], points[35], points[36], points[37], points[38], }); var clusterThree = new List <Vector <double> >(new[] { points[39], points[40], points[41], points[42], points[43], points[44], points[45], points[46], points[47], points[48], points[49], points[50], points[51], points[52], points[53], points[54], points[55], points[56], points[57], points[58], points[59], points[60], points[61], points[62], }); bool cluster1Found = false; bool cluster2Found = false; bool cluster3Found = false; foreach (var cluster in clusters) { if (cluster.Points.All(point => clusterOne.Contains(point))) { cluster1Found = true; } if (cluster.Points.All(point => clusterTwo.Contains(point))) { cluster2Found = true; } if (cluster.Points.All(point => clusterThree.Contains(point))) { cluster3Found = true; } } Assert.True(cluster1Found); Assert.True(cluster2Found); Assert.True(cluster3Found); }