Linda;
   
  You might want to look at the package "ade4" and inparticular the function "dist.binary". Although you have mentioned "Rand Index" I would suggest that you look at the corrected "Rand Index" for "chance agreement" as it measures the agreement between two clusterings resulting from two methods. The corrected "Rand" under a null case "no clustering structure exists" gives you a value closer to zero which is supposed to be. Hope this help
   
  Ahmed Albatineh, PhD
  Nova Southeastern University
  FL, USA

Linda Lei <llei@bccrc.ca> wrote:
  Hi All,



Except the "Rand Index", "Dunn Index" and "Silhouette width", are there
other cluster validation methods in R? Could you please also specify the
function?



Thanks!




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Ahmed Albatineh,PhD
Assistant Professor of Statistics
Nova Southeastern University
Fort Lauderdale, FL 33314
U.S.A
		
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