private void Initialize(int id, bool malignant, TumourFeatures mean,
TumourFeatures standardError, TumourFeatures extreme)
{
Id = id;
Malignant = malignant;
Mean = mean;
StandardError = standardError;
Extreme = extreme;
}
public double CalculateSimilarity(TumourFeatures other, List <float> weights)
{
float maxRadius = 30;
float maxTexture = 31;
float maxPerimeter = 200;
float maxArea = 2500;
float maxConcavity = 140;
float maxConcavePoints = 340;
float maxSymmetry = 400;
float maxFractalDimension = 250;
float minRadius = 1;
float minTexture = 1;
float minPerimeter = 1;
float minArea = 100;
float minConcavity = 1;
float minConcavePoints = 10;
float minSymmetry = 0;
float minFractalDimension = 0;
List <float> similarities = new List <float>()
{
1 - (Math.Abs(other.Radius - this.Radius) / maxRadius - minRadius),
1 - (Math.Abs(other.Texture - this.Texture) / maxTexture - minTexture),
1 - (Math.Abs(other.Perimeter - this.Perimeter) / maxPerimeter - minPerimeter),
1 - (Math.Abs(other.Area - this.Area) / maxArea - minArea),
1 - (Math.Abs(other.Concavity - this.Concavity) / maxConcavity - minConcavity),
1 - (Math.Abs(other.ConcavePoints - this.ConcavePoints) / maxConcavePoints - minConcavePoints),
1 - (Math.Abs(other.Symmetry - this.Symmetry) / maxSymmetry - minSymmetry),
1 - (Math.Abs(other.FractalDimension - this.FractalDimension) / maxFractalDimension - minFractalDimension)
};
float similarityTotal = 0;
float weightSum = 0;
for (int index = 0; index < similarities.Count; index++)
{
similarityTotal += weights[index] * similarities[index];
weightSum += weights[index];
}
similarityTotal = similarityTotal / weightSum;
return(similarityTotal);
}
