Hello all I wonder what can i use to cluster vectors which composed of several factors. lets say around 30 different factors compose a vector, and if the factor is present then it encoded as 1, if not presented then it will be encoded as 0. I was thinking of using hierarchical clustering, as i know the distance between two vector were calculated through euclidean distance function, but i dont think this distance would be correct to separate the data, cause two vector with different composition, could end up having similar distance to another vector. hope someone could give me some clue! -- View this message in context: http://r.789695.n4.nabble.com/how-to-cluster-vectors-of-factors-tp2514654p2514654.html Sent from the R help mailing list archive at Nabble.com.
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