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).
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.