On 6/30/09 5:14 AM, nikita m. wrote:
> I have a dataset with numeric and string-attributes and want to use K-means,
> maybe later even X-means. Is there any possibilty to use different metrics
> for the attributes? eg. Euclidean for numeric and edit-distance for strings?
> Thanks in advance
Not without changing the code. Note that how the centroids are computed
for K-means is important if you want to guarantee that the distance
function minimizes the within cluster error. The component-wise mean is
the correct choice for squared error (Euclidean distance) while the
component-wise median minimizes the Manhattan distance.
Cheers,
Mark.
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Mark Hall
Senior Developer/Consultant, Pentaho Open Source Business Intelligence
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