public List<Doggie> Classify()
{
if (Doggies == null || Doggies.Count() < 3) return Doggies;
// initial assignment- Three clusters seeds
double minHeight = Doggies.Min(x => x.Height);
double maxHeight = Doggies.Max(x => x.Height);
double maxWeight = Doggies.Max(x => x.Weight);
double minWeight = Doggies.Min(x => x.Weight);
// seed
chihuahuaCentroid = Doggies.FirstOrDefault(x => x.Weight == minWeight);
chihuahuaCentroid.Label = Label.Chihuahuas;
beaglesCentroid = Doggies.FirstOrDefault(x => x.Height == maxHeight);
beaglesCentroid.Label = Label.Beagles;
daschundCentroid = Doggies.Where(x => x.Height - minHeight < 1 ).OrderBy(x => x.Weight).Last();
daschundCentroid.Label = Label.Daschunds;
AssignLabel();
FixCentroids(Label.Chihuahuas);
FixCentroids(Label.Beagles);
FixCentroids(Label.Daschunds);
AssignLabel();
return Doggies;
}
private void FixCentroids(Label category)
{
var members = Doggies.Where( x => x.Label == category).ToList();
var centroid = new Doggie() { Height = members.Sum(x => x.Height) / members.Count, Weight = members.Sum(x => x.Weight) / members.Count , Label = category};
switch (category)
{
case Label.Beagles:
beaglesCentroid = centroid;
break;
case Label.Chihuahuas:
chihuahuaCentroid = centroid;
break;
case Label.Daschunds:
daschundCentroid = centroid;
break;
}
}
private double GetEuclideanDistance(Doggie x, Doggie y)
{
var distance = Math.Sqrt(
(x.Height - y.Height) * (x.Height - y.Height) +
(x.Weight - y.Weight) * (x.Weight - y.Weight));
return distance;
}
