Thus spake Robert Holmes circa 10-03-01 02:49 PM: > Once you get past about 10 dimensions you hit problems of "distance > concentration" (as it's known in the machine learning community). Basically, > all distances between pairs of points for D>10 are pretty much the same. > That impacts any distance-based clustering or visualization techniques that > you are trying to use.
Is that true for all norms? Or just the standard 2-norm? -- glen e. p. ropella, 971-222-9095, http://agent-based-modeling.com ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
