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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