I have a simple data set with 3 fields - location name, latitude, and longitude. I have about 1,100 locations and want to cluster them into regions of about 15-16 locations each. The furthest distance I want to allow between any 2 locations within a region is 30 miles. What is my best approach to solving this problem?
One way is to convert the lat-long to UTM coordinates and use euclidian distance for clustering (the distance between UTM coordinates approximates the local distance in meters).
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.