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No, there's no transform method currently. KPrototypes would have to return both a dissimilarity matrix and a distance matrix then. Wouldn't be too hard to implement, I think.
I am trying to find local outliers in each cluster. So, I needed to calculate the distance between each data point to the corresponding cluster center.
The transform function would give me the entire matrix, but now I need to calculate dissimilarity for each data point, which is not hard to implement.
Does K-prototypes implement the transform function of k-means, which returns a distance matrix?
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