/// <summary>
/// Create a new BOWKmeans trainer
/// </summary>
/// <param name="clusterCount">Number of clusters to split the set by.</param>
/// <param name="termcrit">Specifies maximum number of iterations and/or accuracy (distance the centers move by between the subsequent iterations). Use empty termcrit for default.</param>
/// <param name="attempts">The number of attempts. Use 3 for default</param>
/// <param name="flags">Kmeans initialization flag. Use PPCenters for default.</param>
public BOWKMeansTrainer(
int clusterCount,
MCvTermCriteria termcrit,
int attempts = 3,
CvEnum.KMeansInitType flags = KMeansInitType.PPCenters)
{
_ptr = Features2DInvoke.cveBOWKMeansTrainerCreate(clusterCount, ref termcrit, attempts, flags);
}
internal static extern IntPtr cveBOWKMeansTrainerCreate(int clusterCount, ref MCvTermCriteria termcrit, int attempts, CvEnum.KMeansInitType flags);
/// <summary>
/// Create a new BOWKmeans trainer
/// </summary>
/// <param name="clusterCount">Number of clusters to split the set by.</param>
/// <param name="termcrit">Specifies maximum number of iterations and/or accuracy (distance the centers move by between the subsequent iterations). Use empty termcrit for default.</param>
/// <param name="attempts">The number of attemps. Use 3 for default</param>
/// <param name="flags">Kmeans initialization flag. Use PPCenters for default.</param>
public BOWKMeansTrainer(int clusterCount, MCvTermCriteria termcrit, int attempts, CvEnum.KMeansInitType flags)
{
_ptr = CvInvoke.cveBOWKMeansTrainerCreate(clusterCount, ref termcrit, attempts, flags);
}
internal extern static IntPtr CvBOWKMeansTrainerCreate(int clusterCount, MCvTermCriteria termcrit, int attempts, CvEnum.KMeansInitType flags);
