Re: Cluster data by giving vector input

If you are working with text, you can use the stringtowordvector class
to convert each record into a "bag of words"
It is also possible to stem the words, and assign the tf-idf weight to
the them via the appropriate parameters
You can chose the sparse vector representation to save "space" (and memory)
I think the easiest way is to try on the explorer, and then copy and
past the "commands" from the object editor into your code since the
commands can get pretty long

If you dealing with non-textual data, then you should be able to use the
weka cluster functionalities directly; each instance of your arff for
e.g. is itself a vector

For the weighting, you can use the tf-idf measure or weka also allows
you to assing different weights to different attributes, but i'm not
sure how to do that

ashwin


Puri, Aseem wrote:

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