Ward's method as initially implemented by Ward generally does not produce the best hierarchical solutions. Unless your data are of a naturally hierarchical nature, I would suggest looked at some other method. You may wish to check the website for "CLUSTAN" package of programs; also obtain an old CLUSTAN manual which would explain in some detail the operation of many distance measures as well as a good variety of clustering methods. Leo Horseman >From: "Kejun (Kevin) Mei" <[log in to unmask]> >Reply-To: "Classification, clustering, and phylogeny estimation" > <[log in to unmask]> >To: [log in to unmask] >Subject: clustering with distance matrix as input >Date: Fri, 15 Sep 2006 15:17:57 -0500 > >Can someone please tell me a clustering method that use >a distance matrix as input? I tried implementing the Ward >method, but found the final clusters are not so good in my >application, when I trace how clusters are grouped and >how cluster centers are updated. I am seeking an improved >version of the Ward method, or any others. > >Thank you so much and have a great weekend. > >-Kevin > >---------------------------------------------- >CLASS-L list. >Instructions: http://www.classification-society.org/csna/lists.html#class-l ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l