Hi;
datamining question:
----------------------
my input data table is of size 1000-rows, 2000-columns.
each column represents one features. one of the columns represent a categorical
features with 900 levels.
i would like to apply KNN / distance matrix on the table rows, while preserving
right treatment for this categorical column and the other numerical columns.
i understand that "gower" distance might fulfill this purpose if used, but i
read that matrix/table need to be numerical in case "daisy" is being used for
example.
what is the right technique in such case?
Thanks
Rami
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