/**
* <summary> The constructor that sets the classMeans, priorDistribution and distanceMetric according to given inputs.</summary>
*
* <param name="priorDistribution">{@link DiscreteDistribution} input.</param>
* <param name="classMeans"> {@link InstanceList} of class means.</param>
* <param name="distanceMetric"> {@link DistanceMetric} input.</param>
*/
public KMeansModel(DiscreteDistribution priorDistribution, InstanceList.InstanceList classMeans,
DistanceMetric.DistanceMetric distanceMetric)
{
this._classMeans = classMeans;
this.priorDistribution = priorDistribution;
this._distanceMetric = distanceMetric;
}
/**
* <summary> Parameters of the K Means classifier.</summary>
*
* <param name="seed"> Seed is used for random number generation.</param>
* <param name="distanceMetric">distance metric used to calculate the distance between two instances.</param>
*/
public KMeansParameter(int seed, DistanceMetric.DistanceMetric distanceMetric) : base(seed)
{
this.distanceMetric = distanceMetric;
}
/**
* <summary> Parameters of the K Means classifier.</summary>
*
* <param name="seed">Seed is used for random number generation.</param>
*/
public KMeansParameter(int seed) : base(seed)
{
distanceMetric = new EuclidianDistance();
}
/**
* <summary> Parameters of the K-nearest neighbor classifier.</summary>
*
* <param name="seed"> Seed is used for random number generation.</param>
* <param name="k"> Parameter of the K-nearest neighbor algorithm.</param>
* <param name="distanceMetric">Used to calculate the distance between two instances.</param>
*/
public KnnParameter(int seed, int k, DistanceMetric.DistanceMetric distanceMetric) : base(seed, distanceMetric)
{
this._k = k;
}
/**
* <summary> Constructor that sets the data {@link InstanceList}, k value and the {@link DistanceMetric}.</summary>
*
* <param name="data"> {@link InstanceList} input.</param>
* <param name="k"> K value.</param>
* <param name="distanceMetric">{@link DistanceMetric} input.</param>
*/
public KnnModel(InstanceList.InstanceList data, int k, DistanceMetric.DistanceMetric distanceMetric)
{
this._data = data;
this._k = k;
this._distanceMetric = distanceMetric;
}
