/**
* Calculates the k-means costs of the ClusteringFeature and another ClusteringFeature too a
* center.
*
* @param center the center too calculate the costs
* @param points the points too calculate the costs
* @return the costs
*/
public double calcKMeansCosts(double[] center, ClusteringFeature points) {
assert (this.sumPoints.length == center.length
&& this.sumPoints.length == points.sumPoints.length);
return (this.sumSquaredLength + points.sumSquaredLength)
- 2 * Metric.dotProductWithAddition(this.sumPoints, points.sumPoints, center)
+ (this.numPoints + points.numPoints) * Metric.dotProduct(center);
}
/**
* Calculates the k-means costs of the ClusteringFeature and a point too a center.
*
* @param center the center too calculate the costs
* @param point the point too calculate the costs
* @return the costs
*/
public double calcKMeansCosts(double[] center, double[] point) {
assert (this.sumPoints.length == center.length && this.sumPoints.length == point.length);
return (this.sumSquaredLength + Metric.distanceSquared(point))
- 2 * Metric.dotProductWithAddition(this.sumPoints, point, center)
+ (this.numPoints + 1) * Metric.dotProduct(center);
}
