enter image description hereI'm using QGIS 3.4. I have a point shapefile representing population density, and I have used the "K means" vector tool to identify the 12 most optimal locations for service centers that would serve the maximum amount of people in a given area. Then, I used the "mean coordinates" tool to find the centroid for each of the 12 clusters. (See attached jpeg)

In addition to population density, we also want to consider unemployment & poverty when determining the optimal 12 locations. I have block group polygons containing unemployment & poverty rates. Is there a way to use the k means tool to weight these 3 variables in terms of importance (population density=1, unemployment=2, poverty=3)

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