On Jun 25, 2009, at 7:00 PM, Ted Dunning wrote:
On Thu, Jun 25, 2009 at 3:49 PM, Grant Ingersoll
<[email protected]>wrote:
Do people have recommendations for start clusters (seeds) for k-
Means. The
synthetic control example uses Canopy and I often see Random
selection
mentioned, but I'm wondering what's considered to be best practices
for
obtaining good overall results.
Just picking a random data element for each centroid should work well.
Random assignment works much less well because all of the centroids
get put
very close to the mean of the entire data set.
I'm confused by these two sentences. They seem contradictory, but I'm
sure the error is on my end.
-Grant
