The mass is the number of points inside that canopy. Its 1 in the
beginning, and when two canopies merge, there boundPoints ( i.e. mass )
is added.
When the shiftToMean() is used, then the mean is sum of all centers
within t1 of the current canopy ( which are under t2 are already merged
). While summing up the centers, the weight of each center is the mass
of that canopy.
The observe method takes the center as vector and the mass as weight in
the shiftToMean(). To sum up the centers, the MeanShiftCanopy also needs
to observe its own center with its mass. That's why the observe method
is called with its own center and mass.
This is my observation by looking at the documentation and the code,
someone please correct me if they feel the description is wrong.
On 08-03-2012 12:04, gaurav redkar wrote:
I wish to know the purpose of variable "mass" in class MeanShiftCanopy.
what i am not able to figure out is the role it plays in the function
MeanShiftCanopyClusterer.ShiftToMean().In this function there is a call to
function AbstractCluster.observe() with mass of the canopy as one of the
parameters.
Any suggestions.?
Thanks
