Timeline for How to tell quantitatively whether 1D data is clustered around 1 or 3 values?
Current License: CC BY-SA 3.0
6 events
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| Jan 2, 2012 at 10:55 | comment | added | Has QUIT--Anony-Mousse | You must look beyond the means you get from k-means, and see how well they actually describe your data! | |
| Dec 21, 2011 at 16:50 | comment | added | Nikolaus | Oh, about that 693 mean: there are two obvious outliers, a 532 and an 855, out of a total 755 values. All the rest of the values can be seen in the histogram. | |
| Dec 21, 2011 at 16:47 | comment | added | Nikolaus | Is there a place where I can paste the data? | |
| Dec 21, 2011 at 16:46 | comment | added | Nikolaus |
I tried with Matlab's kmeans function. The resulting means vary widely from try to try. (Bad heuristics in this implementation?) For the 1-cluster set, I get means around (270,293,693) sometimes, around (260,285,308) sometimes. For the 3-cluster set, some answers are (196,324,468,) and (290,459,478).
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| Dec 21, 2011 at 16:15 | comment | added | King | ahh, I was just about to post that! You can also refer to this link for the codes and whatnots: statmethods.net/advstats/cluster.html | |
| Dec 21, 2011 at 16:09 | history | answered | Ram Ahluwalia | CC BY-SA 3.0 |