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 <[EMAIL PROTECTED]> 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! [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Ahmed Albatineh,PhD Assistant Professor of Statistics Nova Southeastern University Fort Lauderdale, FL 33314 U.S.A --------------------------------- [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
