Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!rana.usc.edu!fellous From: fellous@rana.usc.edu (Jean-Marc Fellous) Newsgroups: comp.theory Subject: Euclidian clustering Message-ID: <32831@usc> Date: 14 May 91 00:36:06 GMT Sender: news@usc Distribution: comp.theory Lines: 17 Nntp-Posting-Host: rana.usc.edu I am interested in pattern recognition and learning methods for it. One of the simplest approaches is to cluster the data. The usual distance metric is the Euclidean which led me to the following question: Does there exist a Euclidian clustering problem which is NP-complete? If yes, where is the proof published? Thank's for pointers to the literature *********************** JOACHIM BUHMANN University of Southern California Center for Neural Engineering HNB 09, University Park Los Angeles, Ca 90089-0252 email: buhmann@rana.usc.edu