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To find this we are using the following technique:
1. Calculate distance from each estimate to all other estimates of a target. This is repeated for every single estimate of a target.
2. Filter estimates which are less than
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250km away from other estimates for each target.
3. Filter those lists which contain maximum number of estimates of each target.
4. Filter those results which contain the best estimate. The best estimate is the estimate found by Fida to reveal the least possible error for location of a target (among all estimates for a target).
5. Calculate arithmetic mean or median and see if it's anywhere near the best estimate.
Purpose:
The aim to do all this is to find whether a cluster forms around the best estimate for geolocation of a landmark. This may potentially enable us to find a landmark with certain amount of accuracy without knowing original position or best estimate.
Results:
This technique has failed. Spreadsheet attached.