code: public static AssociateDescription<TupleDesc_F64> kdtree( @Nullable ConfigAssociateNearestNeighbor configNN ,
  															  int dimension, int maxNodesSearched ) {
  		NearestNeighbor nn = FactoryNearestNeighbor.kdtree(new KdTreeTuple_F64(dimension),maxNodesSearched);
  
  		return associateNearestNeighbor(configNN,nn);
  	}
docs: Approximate association using a K-D tree degree of moderate size (10-15) that uses a best-bin-first search
  order.
  
  @see AssociateNearestNeighbor_ST
  @see org.ddogleg.nn.alg.searches.KdTreeSearch1Bbf
  
  @param dimension Number of elements in the feature vector
  @param maxNodesSearched  Maximum number of nodes it will search.  Controls speed and accuracy.
  @return Association using approximate nearest neighbor