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Use FindClusters with the following elements structure?

Bruce Colletti
Posted 9 years ago
POSTED BY: Bruce Colletti
5 Replies
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I wonder if a Mathematica program could be written that would answer this kind of question.
POSTED BY: Frank Kampas

Please have a look at the documentation next time:

enter image description here

You can clearly see that $e_i$ are the values on which the distance is based and $v_i$ the return values. So it is just a matter of reshaping your input:

X = {{"a", {12, 30}}, {"b", {13, 31}}, {"c", {100, 102}}, {"d", {101, 103}}};
input = Rule[#2, {##}] & @@@ X
FindClusters[input]
POSTED BY: Sander Huisman
Bruce Colletti
Bruce Colletti
Posted 9 years ago

Thank you for the reply, Sander. Your solution uses constructs with which I'm unfamiliar and I will study it.

I did study the documentation in advance and saw what you pointed out. None of the documentation's examples (that used the e->v construct) returned what I needed and recognized. Neither did Mathematica Stack Exchange and so I turned to Wolfram Community. As usual, the response was excellent and informative.

POSTED BY: Bruce Colletti

note that:

input = Rule[#2, {##}] & @@@ X

can be rewritten as:

input = Table[i[[2]] -> i,{i,X}]

or

input = #[[2]] -> #& /@ X

or

input = MapThread[#2 -> {##} &, Transpose[X]]

or

input = Reap[Do[Sow@Rule[i[[2]], i], {i, X}]][[2, 1]]

or

input = Thread[Rule[X[[All, 2]], X]]

or .........

The last one should be one of the faster ones I presume...
POSTED BY: Sander Huisman
Bruce Colletti
Bruce Colletti
Posted 9 years ago

Thanks again, Sander, especially for the second line Table[i[[2]] -> i,{i,X}].

This is an eye-opener, one more valuable than what my original posting had sought. Your example is the first time I've seen Table used in this way. No doubt it has been obvious all along but it's just now registering, after years of Mathematica use.

I'm now using ## in other applications, thanks to your earlier reply.

Bruce
POSTED BY: Bruce Colletti
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