# Analysising the difference between k-means and spectral clustering algorithm

My target is to cluster the spatial area based on the location(X,Y) and pollutant concentration(Z). So there would be three different attributes along the spatial area(n_sample = grid point)

I have tried two method: K-means & Spectral. But the results are so different.

Here is my figure.

My research area is not in square shape but in the interior of administrative division. Due to the difference between two methods, I presented my doubt here:

• Which method fit my target(spatial clustering by three attributes which are the geographical location and the concentration there)best?(Any method beside these two are OK)

• Directing to the best method, what parameters setting is recommended?