On Mon, Nov 15, 2010 at 1:54 AM, Lance Norskog <[email protected]> wrote:
> I have some questions about KMeans and clustering. I'm generating matrices > from recommendation data models. what does "generating matrices" mean? > To decide whether the generated matrices have interesting data, I'm > generating and charting KMeans clusters. Next, I'm mapping all of the > vectors in the matrix to a nearest "corner" and then clustering those > corners. > This mapping sounds like assignment to a randomly generated cluster. Why does clustering those corners give you any different results before or after mapping vectors to the corners? Does the mapping change the corner? > > The idea of the corners is to create a nearest-neighbors database in > advance of searching, to allow very quick lookup of close-by neighbors. I > can't tell if the results make sense. Please have a look. > > > http://ultrawhizbang.blogspot.com/2010/11/kmeans-cluster-testing-part-second.html Clearly something is happening, but without a tighter definition of what is going in, I can't interpret what is coming out.
