code: protected float weight( float distance ) {
  		float findex = distance*100f;
  		int index = (int)findex;
  
  		if( index >= 99 )
  			return weightTable[99];
  
  		float sample0 = weightTable[index];
  		float sample1 = weightTable[index+1];
  
  		float w = findex-index;
  		return sample0*(1f-w) + sample1*w;
  	}
docs: Returns the weight given the normalized distance.  Instead of computing the kernel distance every time
  a lookup table with linear interpolation is used.  The distance has a domain from 0 to 1, inclusive
  
  @param distance Normalized Euclidean distance squared.  From 0 to 1.
  @return Weight.