WeightedVector

Often, data points that are clustered have varying significance, i.e. they are weighted. This clusterer operates on weighted vectors. Use these WeightedVector companion object to construct weighted vectors.

package com.massivedatascience.linalg

trait WeightedVector extends Serializable {
  def weight: Double

  def inhomogeneous: Vector

  def homogeneous: Vector

  def size: Int = homogeneous.size
}

object WeightedVector {

  def apply(v: Vector): WeightedVector = ???

  def apply(v: Array[Double]): WeightedVector = ???

  def apply(v: Vector, weight: Double): WeightedVector = ???

  def apply(v: Array[Double], weight: Double): WeightedVector = ???

  def fromInhomogeneousWeighted(v: Array[Double], weight: Double): WeightedVector = ???

  def fromInhomogeneousWeighted(v: Vector, weight: Double): WeightedVector = ???
}