static int Classify(double[] unknown,
double[][] trainData, int numClasses, int k, int numFeatures)
{
int n = trainData.Length;
IndexAndDistance[] info = new IndexAndDistance[n];
for (int i = 0; i < n; ++i)
{
IndexAndDistance curr = new IndexAndDistance();
double dist = Distance(unknown, trainData[i]);
curr.idx = i;
curr.dist = dist;
info[i] = curr;
}
Array.Sort(info); // sort by distance
Console.WriteLine("Nearest / Distance / Class");
Console.WriteLine("==========================");
for (int i = 0; i < k; ++i)
{
int c = (int) trainData[info[i].idx][numFeatures]; //to zmienilem
string dist = info[i].dist.ToString("F3");
Console.WriteLine("( " + trainData[info[i].idx][0] +
"," + trainData[info[i].idx][1] + " ) : " +
dist + " " + c);
}
int result = Vote(info, trainData, numClasses, k, numFeatures);
return result;
} // Classify
public static string Classify(double[] unknown, double[][] trainData, int numClasses, int k)
{
int n = trainData.Length;
IndexAndDistance[] info = new IndexAndDistance[n];
for (int i = 0; i < n; i++)
{
IndexAndDistance curr = new IndexAndDistance();
double dist = Distance(unknown, trainData[i]);
curr.idx = i;
curr.dist = dist;
info[i] = curr;
}
Array.Sort(info);
for (int i = 0; i < k; ++i)
{
string c = trainData[info[i].idx][trainData[0].Length - 1] == 1 ? "Iris-virginica" : (trainData[info[i].idx][trainData[0].Length - 2] == 1 ? "Iris - versicolor" : "Iris - setosa");
double dist = info[i].dist;
Console.WriteLine($"Nearest: ({trainData[info[i].idx][0]}, {trainData[info[i].idx][1]}, {trainData[info[i].idx][2]}, {trainData[info[i].idx][3]}) Distance: {dist} Class: {c}");
}
string result = Vote(info, trainData, numClasses, k);
return(result);
}